Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells1320
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric112
Categorical20
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 26 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 9 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 48 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 56 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 35 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Active power limit source and 48 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Active power limit source and 17 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 2 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 30 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 29 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 37 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 47 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Active power limit source and 59 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with First Alarm parameter 2 in 10 min frame and 5 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with First Alarm parameter 1 in 10 min frame and 1 other fieldsHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Active power limit source and 46 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 37 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Active power limit [W] and 46 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Active power limit source and 60 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 47 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 12 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 45 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Min. [°] and 10 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power limit source and 46 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Max. [W] and 6 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with Active power limit [W] and 11 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit [W] and 6 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 1 other fieldsHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Active power limit source and 4 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 43 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 48 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower Max. [W] and 6 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 38 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with Grid Production PossiblePower Min. [W] and 3 other fieldsHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Blades PitchAngle Avg. [°] and 14 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Active power limit source and 61 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 29 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 30 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (96.0%) Imbalance
Active power limit source is highly imbalanced (96.1%) Imbalance
Power factor set point is highly imbalanced (96.1%) Imbalance
Power factor set point source is highly imbalanced (96.1%) Imbalance
First Alarm parameter 2 in 10 min frame is highly imbalanced (99.8%) Imbalance
missing_data is highly imbalanced (99.5%) Imbalance
Total hour counter [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 1101 (4.2%) zeros Zeros
Generator RPM Min. [RPM] has 2103 (8.0%) zeros Zeros
Generator RPM Avg. [RPM] has 1467 (5.6%) zeros Zeros
Generator RPM StdDev [RPM] has 1333 (5.1%) zeros Zeros
Rotor RPM Max. [RPM] has 1382 (5.3%) zeros Zeros
Rotor RPM Min. [RPM] has 2207 (8.4%) zeros Zeros
Rotor RPM Avg. [RPM] has 1783 (6.8%) zeros Zeros
Rotor RPM StdDev [RPM] has 7964 (30.4%) zeros Zeros
Grid Production CosPhi Avg. has 374 (1.4%) zeros Zeros
Grid Production Power StdDev [W] has 275 (1.0%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 18055 (68.9%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 10134 (38.7%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3852 (14.7%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3761 (14.4%) zeros Zeros
Grid Production PossiblePower Min. [W] has 4371 (16.7%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 4325 (16.5%) zeros Zeros
Blades PitchAngle Min. [°] has 318 (1.2%) zeros Zeros
Blades PitchAngle Avg. [°] has 543 (2.1%) zeros Zeros
Blades PitchAngle StdDev [°] has 4850 (18.5%) zeros Zeros
HourCounters Average GridOk Avg. [h] has 336 (1.3%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 416 (1.6%) zeros Zeros
HourCounters Average Run Avg. [h] has 690 (2.6%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 17001 (64.9%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 13146 (50.2%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 9816 (37.5%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25939 (99.0%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 582 (2.2%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 6950 (26.5%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25526 (97.4%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 18774 (71.6%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 16957 (64.7%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 13083 (49.9%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 18788 (71.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 19962 (76.2%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23075 (88.0%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 12280 (46.9%) zeros Zeros
System Logs First Active Alarm No has 25526 (97.4%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25859 (98.7%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:37:53.758924
Analysis finished2025-05-05 15:38:26.458509
Duration32.7 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:38:26.498210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:38:26.580537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1272
Distinct (%)4.9%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1176.7613
Minimum0
Maximum1913
Zeros1101
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:26.664735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q11060
median1249
Q31645
95-th percentile1733
Maximum1913
Range1913
Interquartile range (IQR)585

Descriptive statistics

Standard deviation536.7502
Coefficient of variation (CV)0.45612496
Kurtosis-0.10039682
Mean1176.7613
Median Absolute Deviation (MAD)361
Skewness-1.0114353
Sum30828792
Variance288100.77
MonotonicityNot monotonic
2025-05-05T17:38:26.743050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1101
 
4.2%
1054 304
 
1.2%
1055 279
 
1.1%
1053 250
 
1.0%
1056 235
 
0.9%
1060 231
 
0.9%
1057 225
 
0.9%
1059 220
 
0.8%
1065 208
 
0.8%
1058 208
 
0.8%
Other values (1262) 22937
87.5%
ValueCountFrequency (%)
0 1101
4.2%
1 90
 
0.3%
2 51
 
0.2%
3 53
 
0.2%
4 45
 
0.2%
5 48
 
0.2%
6 43
 
0.2%
7 27
 
0.1%
8 21
 
0.1%
9 21
 
0.1%
ValueCountFrequency (%)
1913 1
< 0.1%
1899 2
< 0.1%
1894 1
< 0.1%
1892 1
< 0.1%
1889 1
< 0.1%
1888 1
< 0.1%
1887 1
< 0.1%
1881 1
< 0.1%
1879 1
< 0.1%
1877 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1116
Distinct (%)4.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1214.2241
Minimum0
Maximum65535
Zeros2103
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:26.822248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1967.25
median1040
Q31277
95-th percentile1610
Maximum65535
Range65535
Interquartile range (IQR)309.75

Descriptive statistics

Standard deviation4130.8653
Coefficient of variation (CV)3.4020617
Kurtosis234.90108
Mean1214.2241
Median Absolute Deviation (MAD)224
Skewness15.271838
Sum31810243
Variance17064048
MonotonicityNot monotonic
2025-05-05T17:38:26.898550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2103
 
8.0%
1044 537
 
2.0%
1043 523
 
2.0%
1045 487
 
1.9%
1040 464
 
1.8%
1041 462
 
1.8%
1039 441
 
1.7%
1042 435
 
1.7%
1037 388
 
1.5%
1038 383
 
1.5%
Other values (1106) 19975
76.2%
ValueCountFrequency (%)
0 2103
8.0%
1 32
 
0.1%
2 41
 
0.2%
3 17
 
0.1%
4 28
 
0.1%
5 17
 
0.1%
6 20
 
0.1%
7 15
 
0.1%
8 6
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
65535 106
0.4%
1637 2
 
< 0.1%
1635 2
 
< 0.1%
1634 4
 
< 0.1%
1633 6
 
< 0.1%
1632 11
 
< 0.1%
1631 4
 
< 0.1%
1630 13
 
< 0.1%
1629 25
 
0.1%
1628 28
 
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1546
Distinct (%)5.9%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1062.9439
Minimum0
Maximum1647
Zeros1467
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:26.973919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11048
median1083
Q31532
95-th percentile1639
Maximum1647
Range1647
Interquartile range (IQR)484

Descriptive statistics

Standard deviation519.59626
Coefficient of variation (CV)0.48882754
Kurtosis-0.40105353
Mean1062.9439
Median Absolute Deviation (MAD)361
Skewness-0.83181801
Sum27847005
Variance269980.27
MonotonicityNot monotonic
2025-05-05T17:38:27.051081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 3580
 
13.7%
1639 1786
 
6.8%
0 1467
 
5.6%
1050 524
 
2.0%
1640 456
 
1.7%
1638 404
 
1.5%
1641 329
 
1.3%
1051 286
 
1.1%
1642 277
 
1.1%
1048 260
 
1.0%
Other values (1536) 16829
64.2%
ValueCountFrequency (%)
0 1467
5.6%
1 97
 
0.4%
2 58
 
0.2%
3 37
 
0.1%
4 25
 
0.1%
5 22
 
0.1%
6 23
 
0.1%
7 16
 
0.1%
8 15
 
0.1%
9 15
 
0.1%
ValueCountFrequency (%)
1647 1
 
< 0.1%
1646 1
 
< 0.1%
1645 18
 
0.1%
1644 82
 
0.3%
1643 142
 
0.5%
1642 277
 
1.1%
1641 329
 
1.3%
1640 456
 
1.7%
1639 1786
6.8%
1638 404
 
1.5%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct490
Distinct (%)1.9%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean56.616497
Minimum0
Maximum754
Zeros1333
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.127972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median27
Q376
95-th percentile226
Maximum754
Range754
Interquartile range (IQR)69

Descriptive statistics

Standard deviation80.987192
Coefficient of variation (CV)1.4304522
Kurtosis10.620897
Mean56.616497
Median Absolute Deviation (MAD)24
Skewness2.9027411
Sum1483239
Variance6558.9252
MonotonicityNot monotonic
2025-05-05T17:38:27.206331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1333
 
5.1%
1 924
 
3.5%
2 864
 
3.3%
5 813
 
3.1%
3 744
 
2.8%
7 712
 
2.7%
6 686
 
2.6%
4 682
 
2.6%
8 661
 
2.5%
9 538
 
2.1%
Other values (480) 18241
69.6%
ValueCountFrequency (%)
0 1333
5.1%
1 924
3.5%
2 864
3.3%
3 744
2.8%
4 682
2.6%
5 813
3.1%
6 686
2.6%
7 712
2.7%
8 661
2.5%
9 538
2.1%
ValueCountFrequency (%)
754 1
 
< 0.1%
747 1
 
< 0.1%
746 1
 
< 0.1%
734 1
 
< 0.1%
725 3
< 0.1%
723 1
 
< 0.1%
717 1
 
< 0.1%
716 1
 
< 0.1%
713 1
 
< 0.1%
710 1
 
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct58
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47.373464
Minimum0
Maximum79
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.285344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q139
median45
Q356
95-th percentile71
Maximum79
Range79
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.712747
Coefficient of variation (CV)0.26835164
Kurtosis-0.031726327
Mean47.373464
Median Absolute Deviation (MAD)8
Skewness0.19028808
Sum1241090
Variance161.61393
MonotonicityNot monotonic
2025-05-05T17:38:27.366221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 1208
 
4.6%
42 1097
 
4.2%
40 1038
 
4.0%
45 988
 
3.8%
46 954
 
3.6%
41 935
 
3.6%
43 922
 
3.5%
38 881
 
3.4%
47 813
 
3.1%
39 789
 
3.0%
Other values (48) 16573
63.2%
ValueCountFrequency (%)
0 106
 
0.4%
23 4
 
< 0.1%
24 143
 
0.5%
25 185
0.7%
26 206
0.8%
27 363
1.4%
28 334
1.3%
29 412
1.6%
30 391
1.5%
31 332
1.3%
ValueCountFrequency (%)
79 8
 
< 0.1%
78 11
 
< 0.1%
77 15
 
0.1%
76 34
 
0.1%
75 91
 
0.3%
74 298
1.1%
73 433
1.7%
72 308
1.2%
71 289
1.1%
70 271
1.0%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct89
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47.980953
Minimum0
Maximum105
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.448379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q135
median42
Q359
95-th percentile91
Maximum105
Range105
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.687089
Coefficient of variation (CV)0.4103105
Kurtosis0.28735212
Mean47.980953
Median Absolute Deviation (MAD)11
Skewness0.95794762
Sum1257005
Variance387.58146
MonotonicityNot monotonic
2025-05-05T17:38:27.525141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 1138
 
4.3%
38 1132
 
4.3%
36 995
 
3.8%
39 961
 
3.7%
40 892
 
3.4%
25 872
 
3.3%
26 846
 
3.2%
27 837
 
3.2%
42 815
 
3.1%
41 795
 
3.0%
Other values (79) 16915
64.5%
ValueCountFrequency (%)
0 106
 
0.4%
18 3
 
< 0.1%
19 16
 
0.1%
20 14
 
0.1%
21 16
 
0.1%
22 85
 
0.3%
23 124
 
0.5%
24 150
 
0.6%
25 872
3.3%
26 846
3.2%
ValueCountFrequency (%)
105 7
 
< 0.1%
104 11
 
< 0.1%
103 6
 
< 0.1%
102 24
 
0.1%
101 93
0.4%
100 167
0.6%
99 208
0.8%
98 154
0.6%
97 107
0.4%
96 114
0.4%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.093099
Minimum0
Maximum107
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.602477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q134
median42
Q360
95-th percentile92
Maximum107
Range107
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.106784
Coefficient of variation (CV)0.41808045
Kurtosis0.26915762
Mean48.093099
Median Absolute Deviation (MAD)11
Skewness0.96029166
Sum1259943
Variance404.28278
MonotonicityNot monotonic
2025-05-05T17:38:27.680198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 1118
 
4.3%
38 1099
 
4.2%
36 1046
 
4.0%
25 998
 
3.8%
39 941
 
3.6%
40 867
 
3.3%
42 815
 
3.1%
41 783
 
3.0%
26 772
 
2.9%
27 713
 
2.7%
Other values (81) 17046
65.0%
ValueCountFrequency (%)
0 106
 
0.4%
18 4
 
< 0.1%
19 24
 
0.1%
20 6
 
< 0.1%
21 36
 
0.1%
22 108
 
0.4%
23 116
 
0.4%
24 342
 
1.3%
25 998
3.8%
26 772
2.9%
ValueCountFrequency (%)
107 2
 
< 0.1%
106 9
 
< 0.1%
105 8
 
< 0.1%
104 10
 
< 0.1%
103 39
 
0.1%
102 90
0.3%
101 204
0.8%
100 195
0.7%
99 122
0.5%
98 98
0.4%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct94
Distinct (%)0.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.693374
Minimum0
Maximum111
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.755978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q136
median44
Q363
95-th percentile97
Maximum111
Range111
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.354789
Coefficient of variation (CV)0.42125406
Kurtosis0.16363736
Mean50.693374
Median Absolute Deviation (MAD)12
Skewness0.91189816
Sum1328065
Variance456.02702
MonotonicityNot monotonic
2025-05-05T17:38:27.835135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1088
 
4.2%
39 1037
 
4.0%
41 978
 
3.7%
38 858
 
3.3%
42 818
 
3.1%
43 808
 
3.1%
26 786
 
3.0%
44 773
 
2.9%
25 769
 
2.9%
27 708
 
2.7%
Other values (84) 17575
67.1%
ValueCountFrequency (%)
0 106
 
0.4%
19 13
 
< 0.1%
20 16
 
0.1%
21 8
 
< 0.1%
22 67
 
0.3%
23 125
 
0.5%
24 159
 
0.6%
25 769
2.9%
26 786
3.0%
27 708
2.7%
ValueCountFrequency (%)
111 4
 
< 0.1%
110 13
 
< 0.1%
109 6
 
< 0.1%
108 38
 
0.1%
107 125
0.5%
106 187
0.7%
105 182
0.7%
104 135
0.5%
103 92
0.4%
102 111
0.4%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean24.855218
Minimum0
Maximum41
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:27.903758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q122
median25
Q328
95-th percentile32
Maximum41
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.4998837
Coefficient of variation (CV)0.18104383
Kurtosis3.245138
Mean24.855218
Median Absolute Deviation (MAD)3
Skewness-0.089871104
Sum651157
Variance20.248954
MonotonicityNot monotonic
2025-05-05T17:38:27.961750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
25 2653
10.1%
23 2435
9.3%
24 2221
 
8.5%
22 2202
 
8.4%
21 2122
 
8.1%
20 2072
 
7.9%
26 1939
 
7.4%
27 1868
 
7.1%
28 1565
 
6.0%
19 1465
 
5.6%
Other values (17) 5656
21.6%
ValueCountFrequency (%)
0 106
 
0.4%
16 4
 
< 0.1%
17 35
 
0.1%
18 433
 
1.7%
19 1465
5.6%
20 2072
7.9%
21 2122
8.1%
22 2202
8.4%
23 2435
9.3%
24 2221
8.5%
ValueCountFrequency (%)
41 23
 
0.1%
40 31
 
0.1%
39 46
 
0.2%
38 60
 
0.2%
37 103
 
0.4%
36 217
 
0.8%
35 143
 
0.5%
34 260
 
1.0%
33 380
1.4%
32 727
2.8%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct56
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.063554
Minimum0
Maximum78
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.030714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q146
median51
Q359
95-th percentile70
Maximum78
Range78
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.246408
Coefficient of variation (CV)0.22024335
Kurtosis1.0138081
Mean51.063554
Median Absolute Deviation (MAD)6
Skewness-0.43003436
Sum1337763
Variance126.4817
MonotonicityNot monotonic
2025-05-05T17:38:28.112318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 1650
 
6.3%
46 1446
 
5.5%
48 1228
 
4.7%
50 1083
 
4.1%
52 1082
 
4.1%
51 1063
 
4.1%
49 1008
 
3.8%
53 855
 
3.3%
54 853
 
3.3%
45 832
 
3.2%
Other values (46) 15098
57.6%
ValueCountFrequency (%)
0 106
 
0.4%
24 30
 
0.1%
25 97
 
0.4%
26 106
 
0.4%
27 183
0.7%
28 214
0.8%
29 216
0.8%
30 250
1.0%
31 242
0.9%
32 298
1.1%
ValueCountFrequency (%)
78 3
 
< 0.1%
77 20
 
0.1%
76 28
 
0.1%
75 11
 
< 0.1%
74 65
 
0.2%
73 191
 
0.7%
72 485
1.9%
71 327
1.2%
70 318
1.2%
69 319
1.2%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean33.230399
Minimum0
Maximum56
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.184618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median34
Q335
95-th percentile41
Maximum56
Range56
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0406952
Coefficient of variation (CV)0.15168928
Kurtosis7.3343152
Mean33.230399
Median Absolute Deviation (MAD)4
Skewness-0.49552211
Sum870570
Variance25.408608
MonotonicityNot monotonic
2025-05-05T17:38:28.250593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
34 3898
14.9%
28 3580
13.7%
35 3438
13.1%
29 3263
12.5%
30 1689
 
6.4%
36 1376
 
5.3%
40 1103
 
4.2%
31 1064
 
4.1%
32 1054
 
4.0%
33 1049
 
4.0%
Other values (27) 4684
17.9%
ValueCountFrequency (%)
0 106
 
0.4%
21 8
 
< 0.1%
22 15
 
0.1%
23 17
 
0.1%
24 17
 
0.1%
25 12
 
< 0.1%
26 30
 
0.1%
27 537
 
2.0%
28 3580
13.7%
29 3263
12.5%
ValueCountFrequency (%)
56 6
 
< 0.1%
55 15
 
0.1%
54 17
 
0.1%
53 19
 
0.1%
52 14
 
0.1%
51 15
 
0.1%
50 18
 
0.1%
49 21
 
0.1%
48 65
0.2%
47 82
0.3%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.611154
Minimum0
Maximum54
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.313829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q146
median49
Q351
95-th percentile53
Maximum54
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3749951
Coefficient of variation (CV)0.08999982
Kurtosis60.400253
Mean48.611154
Median Absolute Deviation (MAD)3
Skewness-5.7753804
Sum1273515
Variance19.140582
MonotonicityNot monotonic
2025-05-05T17:38:28.377426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
53 3393
12.9%
52 3107
11.9%
45 2919
11.1%
51 2748
10.5%
50 2630
10.0%
46 2502
9.5%
49 2393
9.1%
48 2349
9.0%
47 2176
8.3%
44 1588
6.1%
Other values (17) 393
 
1.5%
ValueCountFrequency (%)
0 106
0.4%
24 32
 
0.1%
25 1
 
< 0.1%
30 1
 
< 0.1%
31 1
 
< 0.1%
33 2
 
< 0.1%
34 2
 
< 0.1%
35 7
 
< 0.1%
36 1
 
< 0.1%
37 5
 
< 0.1%
ValueCountFrequency (%)
54 44
 
0.2%
53 3393
12.9%
52 3107
11.9%
51 2748
10.5%
50 2630
10.0%
49 2393
9.1%
48 2349
9.0%
47 2176
8.3%
46 2502
9.5%
45 2919
11.1%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26198 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130990
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:28.439045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:28.473340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26198 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130990
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:28.513173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:28.546199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean56.810329
Minimum0
Maximum69
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.591058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q154
median56
Q362
95-th percentile68
Maximum69
Range69
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.4372142
Coefficient of variation (CV)0.13091306
Kurtosis12.667752
Mean56.810329
Median Absolute Deviation (MAD)4
Skewness-1.8913539
Sum1488317
Variance55.312155
MonotonicityNot monotonic
2025-05-05T17:38:28.663523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
55 3384
 
12.9%
54 2796
 
10.7%
56 1835
 
7.0%
57 1193
 
4.6%
65 1162
 
4.4%
68 1058
 
4.0%
58 1008
 
3.8%
63 981
 
3.7%
64 951
 
3.6%
53 939
 
3.6%
Other values (30) 10891
41.6%
ValueCountFrequency (%)
0 106
0.4%
23 5
 
< 0.1%
24 22
 
0.1%
25 6
 
< 0.1%
27 1
 
< 0.1%
30 1
 
< 0.1%
35 1
 
< 0.1%
37 6
 
< 0.1%
38 3
 
< 0.1%
39 10
 
< 0.1%
ValueCountFrequency (%)
69 417
 
1.6%
68 1058
4.0%
67 874
3.3%
66 912
3.5%
65 1162
4.4%
64 951
3.6%
63 981
3.7%
62 772
2.9%
61 935
3.6%
60 862
3.3%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.565921
Minimum0
Maximum58
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.730017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q149
median49
Q349
95-th percentile51
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7197388
Coefficient of variation (CV)0.076591542
Kurtosis117.07268
Mean48.565921
Median Absolute Deviation (MAD)0
Skewness-9.6042239
Sum1272330
Variance13.836457
MonotonicityNot monotonic
2025-05-05T17:38:28.795203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
49 17836
68.1%
50 2113
 
8.1%
51 2086
 
8.0%
48 789
 
3.0%
52 565
 
2.2%
46 558
 
2.1%
47 519
 
2.0%
45 406
 
1.5%
44 361
 
1.4%
42 193
 
0.7%
Other values (19) 772
 
2.9%
ValueCountFrequency (%)
0 106
0.4%
26 1
 
< 0.1%
27 32
 
0.1%
28 1
 
< 0.1%
31 3
 
< 0.1%
32 3
 
< 0.1%
33 4
 
< 0.1%
34 4
 
< 0.1%
35 9
 
< 0.1%
36 15
 
0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
55 1
 
< 0.1%
53 18
 
0.1%
52 565
 
2.2%
51 2086
 
8.0%
50 2113
 
8.1%
49 17836
68.1%
48 789
 
3.0%
47 519
 
2.0%
46 558
 
2.1%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:28.859554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:28.892705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct44
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.577105
Minimum0
Maximum74
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:28.938854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q152
median57
Q368
95-th percentile73
Maximum74
Range74
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.9960021
Coefficient of variation (CV)0.17064691
Kurtosis3.3339995
Mean58.577105
Median Absolute Deviation (MAD)7
Skewness-0.74438308
Sum1534603
Variance99.920058
MonotonicityNot monotonic
2025-05-05T17:38:29.533608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
54 1687
 
6.4%
53 1553
 
5.9%
55 1383
 
5.3%
73 1333
 
5.1%
56 1265
 
4.8%
72 1161
 
4.4%
71 1096
 
4.2%
52 932
 
3.6%
57 851
 
3.2%
50 851
 
3.2%
Other values (34) 14086
53.7%
ValueCountFrequency (%)
0 106
0.4%
28 35
 
0.1%
31 1
 
< 0.1%
34 3
 
< 0.1%
35 5
 
< 0.1%
36 8
 
< 0.1%
37 4
 
< 0.1%
38 31
 
0.1%
39 131
0.5%
40 132
0.5%
ValueCountFrequency (%)
74 807
3.1%
73 1333
5.1%
72 1161
4.4%
71 1096
4.2%
70 803
3.1%
69 732
2.8%
68 628
2.4%
67 551
2.1%
66 594
2.3%
65 578
2.2%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct45
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.176617
Minimum0
Maximum75
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:29.607632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q154
median57
Q365
95-th percentile73
Maximum75
Range75
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.233348
Coefficient of variation (CV)0.15871236
Kurtosis5.1964205
Mean58.176617
Median Absolute Deviation (MAD)6
Skewness-0.94671911
Sum1524111
Variance85.254716
MonotonicityNot monotonic
2025-05-05T17:38:29.682197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
55 2766
 
10.6%
56 2695
 
10.3%
57 1447
 
5.5%
54 1224
 
4.7%
58 1032
 
3.9%
59 845
 
3.2%
73 842
 
3.2%
72 750
 
2.9%
69 743
 
2.8%
60 711
 
2.7%
Other values (35) 13143
50.1%
ValueCountFrequency (%)
0 106
0.4%
27 19
 
0.1%
28 16
 
0.1%
33 1
 
< 0.1%
35 11
 
< 0.1%
36 9
 
< 0.1%
37 3
 
< 0.1%
38 47
 
0.2%
39 96
0.4%
40 181
0.7%
ValueCountFrequency (%)
75 6
 
< 0.1%
74 657
2.5%
73 842
3.2%
72 750
2.9%
71 691
2.6%
70 678
2.6%
69 743
2.8%
68 684
2.6%
67 644
2.5%
66 633
2.4%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct45
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.400641
Minimum0
Maximum74
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:29.756282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q155
median57
Q364
95-th percentile73
Maximum74
Range74
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.9364048
Coefficient of variation (CV)0.15301895
Kurtosis6.3134868
Mean58.400641
Median Absolute Deviation (MAD)5
Skewness-1.0347524
Sum1529980
Variance79.85933
MonotonicityNot monotonic
2025-05-05T17:38:29.830202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
56 5685
21.7%
57 2119
 
8.1%
58 1148
 
4.4%
74 935
 
3.6%
59 929
 
3.5%
73 803
 
3.1%
55 744
 
2.8%
60 713
 
2.7%
61 700
 
2.7%
72 688
 
2.6%
Other values (35) 11734
44.8%
ValueCountFrequency (%)
0 106
0.4%
27 15
 
0.1%
28 19
 
0.1%
29 1
 
< 0.1%
34 1
 
< 0.1%
35 4
 
< 0.1%
36 13
 
< 0.1%
37 3
 
< 0.1%
38 5
 
< 0.1%
39 83
0.3%
ValueCountFrequency (%)
74 935
3.6%
73 803
3.1%
72 688
2.6%
71 602
2.3%
70 546
2.1%
69 608
2.3%
68 575
2.2%
67 556
2.1%
66 542
2.1%
65 596
2.3%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.52046
Minimum0
Maximum72
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:29.899657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q159
median61
Q366
95-th percentile71
Maximum72
Range72
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.1715501
Coefficient of variation (CV)0.13502128
Kurtosis11.259276
Mean60.52046
Median Absolute Deviation (MAD)4
Skewness-2.1822659
Sum1585515
Variance66.774231
MonotonicityNot monotonic
2025-05-05T17:38:29.971033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
61 4809
18.3%
60 3388
12.9%
68 1509
 
5.8%
69 1314
 
5.0%
62 1307
 
5.0%
71 1286
 
4.9%
70 1129
 
4.3%
67 1057
 
4.0%
63 1034
 
3.9%
65 919
 
3.5%
Other values (29) 8446
32.2%
ValueCountFrequency (%)
0 106
0.4%
30 35
 
0.1%
35 6
 
< 0.1%
36 2
 
< 0.1%
37 1
 
< 0.1%
39 48
 
0.2%
40 64
 
0.2%
41 137
0.5%
42 140
0.5%
43 168
0.6%
ValueCountFrequency (%)
72 50
 
0.2%
71 1286
4.9%
70 1129
4.3%
69 1314
5.0%
68 1509
5.8%
67 1057
4.0%
66 848
3.2%
65 919
3.5%
64 843
3.2%
63 1034
3.9%
Distinct43
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.323803
Minimum0
Maximum74
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.042400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q158
median61
Q366
95-th percentile73
Maximum74
Range74
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2510592
Coefficient of variation (CV)0.1533567
Kurtosis6.4592596
Mean60.323803
Median Absolute Deviation (MAD)4
Skewness-1.568977
Sum1580363
Variance85.582096
MonotonicityNot monotonic
2025-05-05T17:38:30.115273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
60 4894
18.7%
61 2753
 
10.5%
62 1355
 
5.2%
63 1022
 
3.9%
73 932
 
3.6%
69 844
 
3.2%
70 825
 
3.1%
64 823
 
3.1%
74 812
 
3.1%
71 808
 
3.1%
Other values (33) 11130
42.5%
ValueCountFrequency (%)
0 106
0.4%
29 35
 
0.1%
34 3
 
< 0.1%
35 11
 
< 0.1%
36 15
 
0.1%
37 43
 
0.2%
38 80
 
0.3%
39 112
0.4%
40 195
0.7%
41 223
0.9%
ValueCountFrequency (%)
74 812
3.1%
73 932
3.6%
72 776
3.0%
71 808
3.1%
70 825
3.1%
69 844
3.2%
68 743
2.8%
67 732
2.8%
66 669
2.6%
65 801
3.1%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.208756
Minimum0
Maximum45
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.182713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q125
median27
Q331
95-th percentile35
Maximum45
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5764338
Coefficient of variation (CV)0.16223451
Kurtosis5.1882297
Mean28.208756
Median Absolute Deviation (MAD)3
Skewness-0.22595195
Sum739013
Variance20.943746
MonotonicityNot monotonic
2025-05-05T17:38:30.241549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
24 5318
20.3%
25 3298
12.6%
27 1974
 
7.5%
26 1866
 
7.1%
28 1828
 
7.0%
30 1757
 
6.7%
29 1701
 
6.5%
34 1667
 
6.4%
32 1438
 
5.5%
31 1332
 
5.1%
Other values (17) 4019
15.3%
ValueCountFrequency (%)
0 106
 
0.4%
20 6
 
< 0.1%
21 45
 
0.2%
22 8
 
< 0.1%
23 746
 
2.8%
24 5318
20.3%
25 3298
12.6%
26 1866
 
7.1%
27 1974
 
7.5%
28 1828
 
7.0%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 42
 
0.2%
43 25
 
0.1%
42 75
 
0.3%
41 125
0.5%
40 202
0.8%
39 141
0.5%
38 185
0.7%
37 182
0.7%
36 167
0.6%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3322
Distinct (%)12.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean226.65528
Minimum0
Maximum359.9
Zeros143
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.310990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.1
Q1129.2
median265.5
Q3311
95-th percentile334.7
Maximum359.9
Range359.9
Interquartile range (IQR)181.8

Descriptive statistics

Standard deviation97.681064
Coefficient of variation (CV)0.43096751
Kurtosis-0.97777187
Mean226.65528
Median Absolute Deviation (MAD)58.8
Skewness-0.59552188
Sum5937915.1
Variance9541.5902
MonotonicityNot monotonic
2025-05-05T17:38:30.388164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143
 
0.5%
295.9 107
 
0.4%
133.7 105
 
0.4%
332.3 101
 
0.4%
317.6 99
 
0.4%
5.5 97
 
0.4%
323.2 94
 
0.4%
322 83
 
0.3%
99.8 77
 
0.3%
333 77
 
0.3%
Other values (3312) 25215
96.2%
ValueCountFrequency (%)
0 143
0.5%
0.2 4
 
< 0.1%
0.6 4
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 8
 
< 0.1%
1.3 14
 
0.1%
1.6 3
 
< 0.1%
1.7 1
 
< 0.1%
2 4
 
< 0.1%
ValueCountFrequency (%)
359.9 7
 
< 0.1%
359.7 1
 
< 0.1%
359.5 6
 
< 0.1%
359.2 2
 
< 0.1%
359.1 1
 
< 0.1%
358.8 9
 
< 0.1%
358.6 1
 
< 0.1%
358.4 6
 
< 0.1%
358.2 1
 
< 0.1%
358 26
0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct163
Distinct (%)0.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.23485
Minimum0
Maximum18.2
Zeros1382
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.464132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.1
median11.9
Q315.7
95-th percentile16.5
Maximum18.2
Range18.2
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation5.1237088
Coefficient of variation (CV)0.45605493
Kurtosis-0.096896607
Mean11.23485
Median Absolute Deviation (MAD)3.5
Skewness-1.0141165
Sum294330.6
Variance26.252392
MonotonicityNot monotonic
2025-05-05T17:38:30.542250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2437
 
9.3%
15.8 1734
 
6.6%
10.2 1664
 
6.3%
15.7 1487
 
5.7%
0 1382
 
5.3%
15.9 1301
 
5.0%
16 654
 
2.5%
10.3 646
 
2.5%
15.6 538
 
2.1%
11.2 366
 
1.4%
Other values (153) 13989
53.4%
ValueCountFrequency (%)
0 1382
5.3%
0.1 202
 
0.8%
0.2 64
 
0.2%
0.3 56
 
0.2%
0.4 54
 
0.2%
0.5 45
 
0.2%
0.6 57
 
0.2%
0.7 51
 
0.2%
0.8 44
 
0.2%
0.9 41
 
0.2%
ValueCountFrequency (%)
18.2 1
 
< 0.1%
18.1 2
 
< 0.1%
18 5
 
< 0.1%
17.9 6
 
< 0.1%
17.8 16
 
0.1%
17.7 17
 
0.1%
17.6 25
 
0.1%
17.5 37
0.1%
17.4 49
0.2%
17.3 70
0.3%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct139
Distinct (%)0.5%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.574273
Minimum0
Maximum6553.5
Zeros2207
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.620263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.2
median9.9
Q312.2
95-th percentile15.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation415.4763
Coefficient of variation (CV)11.679123
Kurtosis242.13527
Mean35.574273
Median Absolute Deviation (MAD)2.2
Skewness15.623164
Sum931974.8
Variance172620.56
MonotonicityNot monotonic
2025-05-05T17:38:30.696265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4004
 
15.3%
10 2306
 
8.8%
0 2207
 
8.4%
9.8 1661
 
6.3%
11.9 737
 
2.8%
15.4 736
 
2.8%
15.5 487
 
1.9%
12 469
 
1.8%
9.6 460
 
1.8%
9.7 457
 
1.7%
Other values (129) 12674
48.4%
ValueCountFrequency (%)
0 2207
8.4%
0.1 117
 
0.4%
0.2 75
 
0.3%
0.3 62
 
0.2%
0.4 81
 
0.3%
0.5 90
 
0.3%
0.6 89
 
0.3%
0.7 91
 
0.3%
0.8 94
 
0.4%
0.9 123
 
0.5%
ValueCountFrequency (%)
6553.5 106
 
0.4%
15.6 51
 
0.2%
15.5 487
1.9%
15.4 736
2.8%
15.3 455
1.7%
15.2 327
1.2%
15.1 291
 
1.1%
15 289
 
1.1%
14.9 261
 
1.0%
14.8 202
 
0.8%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.105271
Minimum0
Maximum15.7
Zeros1783
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:30.772296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10.3
Q314.6
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation4.9528855
Coefficient of variation (CV)0.49012889
Kurtosis-0.40205921
Mean10.105271
Median Absolute Deviation (MAD)3.4
Skewness-0.83273529
Sum264737.9
Variance24.531075
MonotonicityNot monotonic
2025-05-05T17:38:30.851633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5531
21.1%
15.6 4036
 
15.4%
0 1783
 
6.8%
10.1 691
 
2.6%
15.5 632
 
2.4%
10.2 446
 
1.7%
15.4 382
 
1.5%
10.3 373
 
1.4%
10.4 280
 
1.1%
10.5 260
 
1.0%
Other values (148) 11784
45.0%
ValueCountFrequency (%)
0 1783
6.8%
0.1 105
 
0.4%
0.2 99
 
0.4%
0.3 69
 
0.3%
0.4 58
 
0.2%
0.5 51
 
0.2%
0.6 52
 
0.2%
0.7 56
 
0.2%
0.8 64
 
0.2%
0.9 73
 
0.3%
ValueCountFrequency (%)
15.7 1
 
< 0.1%
15.6 4036
15.4%
15.5 632
 
2.4%
15.4 382
 
1.5%
15.3 245
 
0.9%
15.2 234
 
0.9%
15.1 218
 
0.8%
15 183
 
0.7%
14.9 174
 
0.7%
14.8 166
 
0.6%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct69
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.50016413
Minimum0
Maximum7.2
Zeros7964
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.062114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile2.1
Maximum7.2
Range7.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.77052006
Coefficient of variation (CV)1.5405344
Kurtosis10.756271
Mean0.50016413
Median Absolute Deviation (MAD)0.2
Skewness2.9224996
Sum13103.3
Variance0.59370116
MonotonicityNot monotonic
2025-05-05T17:38:31.140718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7964
30.4%
0.1 3510
13.4%
0.2 2309
 
8.8%
0.3 1770
 
6.8%
0.4 1440
 
5.5%
0.5 1241
 
4.7%
0.6 1114
 
4.3%
0.8 1007
 
3.8%
0.7 999
 
3.8%
0.9 926
 
3.5%
Other values (59) 3918
14.9%
ValueCountFrequency (%)
0 7964
30.4%
0.1 3510
13.4%
0.2 2309
 
8.8%
0.3 1770
 
6.8%
0.4 1440
 
5.5%
0.5 1241
 
4.7%
0.6 1114
 
4.3%
0.7 999
 
3.8%
0.8 1007
 
3.8%
0.9 926
 
3.5%
ValueCountFrequency (%)
7.2 1
 
< 0.1%
7.1 2
 
< 0.1%
7 1
 
< 0.1%
6.9 4
< 0.1%
6.8 3
< 0.1%
6.7 5
< 0.1%
6.6 2
 
< 0.1%
6.5 2
 
< 0.1%
6.4 2
 
< 0.1%
6.2 1
 
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct357
Distinct (%)1.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.3707688
Minimum0
Maximum39.9
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.219269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15.2
median7.8
Q312
95-th percentile20.4
Maximum39.9
Range39.9
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation5.7073076
Coefficient of variation (CV)0.60905436
Kurtosis2.0788752
Mean9.3707688
Median Absolute Deviation (MAD)3
Skewness1.3555226
Sum245495.4
Variance32.57336
MonotonicityNot monotonic
2025-05-05T17:38:31.298602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4 295
 
1.1%
7.2 289
 
1.1%
4.7 285
 
1.1%
5.4 284
 
1.1%
5.2 282
 
1.1%
4.6 281
 
1.1%
6.9 281
 
1.1%
4.8 277
 
1.1%
5.1 277
 
1.1%
6.6 273
 
1.0%
Other values (347) 23374
89.2%
ValueCountFrequency (%)
0 106
0.4%
0.8 2
 
< 0.1%
0.9 1
 
< 0.1%
1 7
 
< 0.1%
1.1 3
 
< 0.1%
1.2 14
 
0.1%
1.3 21
 
0.1%
1.4 19
 
0.1%
1.5 20
 
0.1%
1.6 28
 
0.1%
ValueCountFrequency (%)
39.9 1
< 0.1%
39.5 1
< 0.1%
39.4 1
< 0.1%
38.8 1
< 0.1%
38.3 1
< 0.1%
37.8 1
< 0.1%
37.5 2
< 0.1%
37.4 1
< 0.1%
37.3 1
< 0.1%
37.2 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation 

Distinct179
Distinct (%)0.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean30.32136
Minimum0
Maximum6553.5
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.376371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11.7
median3.3
Q35.2
95-th percentile9.2
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation415.79196
Coefficient of variation (CV)13.71284
Kurtosis242.18051
Mean30.32136
Median Absolute Deviation (MAD)1.7
Skewness15.625346
Sum794359
Variance172882.95
MonotonicityNot monotonic
2025-05-05T17:38:31.452262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3 588
 
2.2%
1.4 541
 
2.1%
1.2 530
 
2.0%
1.5 519
 
2.0%
1.7 510
 
1.9%
1.6 503
 
1.9%
3.5 496
 
1.9%
1.1 494
 
1.9%
3.3 480
 
1.8%
3.4 469
 
1.8%
Other values (169) 21068
80.4%
ValueCountFrequency (%)
0 5
 
< 0.1%
0.3 468
1.8%
0.4 321
1.2%
0.5 307
1.2%
0.6 321
1.2%
0.7 368
1.4%
0.8 360
1.4%
0.9 420
1.6%
1 460
1.8%
1.1 494
1.9%
ValueCountFrequency (%)
6553.5 106
0.4%
19.7 1
 
< 0.1%
18.7 1
 
< 0.1%
18.6 1
 
< 0.1%
18.2 2
 
< 0.1%
17.9 1
 
< 0.1%
17.8 2
 
< 0.1%
17.6 1
 
< 0.1%
17.5 1
 
< 0.1%
17.3 1
 
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct284
Distinct (%)1.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.5685243
Minimum0
Maximum30.1
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.529634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q13.5
median5.4
Q38.5
95-th percentile15.2
Maximum30.1
Range30.1
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3271446
Coefficient of variation (CV)0.65876967
Kurtosis2.6698503
Mean6.5685243
Median Absolute Deviation (MAD)2.2
Skewness1.4853486
Sum172082.2
Variance18.72418
MonotonicityNot monotonic
2025-05-05T17:38:31.607027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7 437
 
1.7%
4 433
 
1.7%
4.1 428
 
1.6%
3.9 416
 
1.6%
4.2 402
 
1.5%
3.6 402
 
1.5%
3.8 385
 
1.5%
3.3 374
 
1.4%
3.5 373
 
1.4%
2.9 371
 
1.4%
Other values (274) 22177
84.6%
ValueCountFrequency (%)
0 106
0.4%
0.3 2
 
< 0.1%
0.4 9
 
< 0.1%
0.5 18
 
0.1%
0.6 15
 
0.1%
0.7 42
 
0.2%
0.8 32
 
0.1%
0.9 57
0.2%
1 57
0.2%
1.1 101
0.4%
ValueCountFrequency (%)
30.1 1
< 0.1%
30 1
< 0.1%
29.6 1
< 0.1%
29.5 1
< 0.1%
29.3 1
< 0.1%
29.2 1
< 0.1%
29.1 1
< 0.1%
28.8 1
< 0.1%
28.5 2
< 0.1%
28.4 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.87633025
Minimum0
Maximum5
Zeros137
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.684425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.1
95-th percentile2.1
Maximum5
Range5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.61292439
Coefficient of variation (CV)0.6994217
Kurtosis3.1367845
Mean0.87633025
Median Absolute Deviation (MAD)0.3
Skewness1.5628446
Sum22958.1
Variance0.37567631
MonotonicityNot monotonic
2025-05-05T17:38:31.760604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.5 2781
 
10.6%
0.6 2628
 
10.0%
0.4 2383
 
9.1%
0.7 2378
 
9.1%
0.3 1976
 
7.5%
0.8 1842
 
7.0%
0.9 1453
 
5.5%
0.2 1445
 
5.5%
1 1263
 
4.8%
1.1 999
 
3.8%
Other values (39) 7050
26.9%
ValueCountFrequency (%)
0 137
 
0.5%
0.1 451
 
1.7%
0.2 1445
5.5%
0.3 1976
7.5%
0.4 2383
9.1%
0.5 2781
10.6%
0.6 2628
10.0%
0.7 2378
9.1%
0.8 1842
7.0%
0.9 1453
5.5%
ValueCountFrequency (%)
5 1
 
< 0.1%
4.7 1
 
< 0.1%
4.6 1
 
< 0.1%
4.5 2
 
< 0.1%
4.4 1
 
< 0.1%
4.3 4
 
< 0.1%
4.2 4
 
< 0.1%
4.1 5
< 0.1%
4 8
< 0.1%
3.9 12
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct2008
Distinct (%)7.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-3.1884533
Minimum-179.9
Maximum179.7
Zeros114
Zeros (%)0.4%
Negative22209
Negative (%)84.7%
Memory size1.4 MiB
2025-05-05T17:38:31.835729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.9
5-th percentile-24.6
Q1-4.8
median-3.1
Q3-1.4
95-th percentile21.015
Maximum179.7
Range359.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation27.242843
Coefficient of variation (CV)-8.544219
Kurtosis19.011556
Mean-3.1884533
Median Absolute Deviation (MAD)1.7
Skewness-0.12712487
Sum-83531.1
Variance742.17252
MonotonicityNot monotonic
2025-05-05T17:38:31.910870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.9 468
 
1.8%
-3.6 455
 
1.7%
-3.4 448
 
1.7%
-3.3 438
 
1.7%
-3.1 437
 
1.7%
-3.5 436
 
1.7%
-3.2 431
 
1.6%
-2.7 430
 
1.6%
-2.8 429
 
1.6%
-3 423
 
1.6%
Other values (1998) 21803
83.2%
ValueCountFrequency (%)
-179.9 1
< 0.1%
-179.8 1
< 0.1%
-179.1 1
< 0.1%
-178.7 1
< 0.1%
-178.3 1
< 0.1%
-177.8 1
< 0.1%
-177.5 1
< 0.1%
-177 1
< 0.1%
-176.7 1
< 0.1%
-175.6 1
< 0.1%
ValueCountFrequency (%)
179.7 1
 
< 0.1%
179.6 1
 
< 0.1%
179.5 1
 
< 0.1%
179.3 1
 
< 0.1%
179.1 1
 
< 0.1%
178.8 1
 
< 0.1%
178.7 1
 
< 0.1%
178.6 1
 
< 0.1%
178.5 2
< 0.1%
178.4 3
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3515
Distinct (%)13.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean226.26134
Minimum0
Maximum359.9
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:31.986056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.485
Q1127.725
median267.25
Q3309.1
95-th percentile337.3
Maximum359.9
Range359.9
Interquartile range (IQR)181.375

Descriptive statistics

Standard deviation98.450345
Coefficient of variation (CV)0.43511784
Kurtosis-0.98260055
Mean226.26134
Median Absolute Deviation (MAD)55.65
Skewness-0.61014202
Sum5927594.5
Variance9692.4704
MonotonicityNot monotonic
2025-05-05T17:38:32.062940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312.8 46
 
0.2%
307.4 44
 
0.2%
312.7 44
 
0.2%
309.2 38
 
0.1%
302.1 38
 
0.1%
308.3 38
 
0.1%
304.2 38
 
0.1%
306.2 37
 
0.1%
311.8 37
 
0.1%
304.7 36
 
0.1%
Other values (3505) 25802
98.5%
ValueCountFrequency (%)
0 3
 
< 0.1%
0.1 3
 
< 0.1%
0.2 4
 
< 0.1%
0.3 2
 
< 0.1%
0.4 4
 
< 0.1%
0.5 7
< 0.1%
0.6 2
 
< 0.1%
0.7 10
< 0.1%
0.8 4
 
< 0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
359.9 4
< 0.1%
359.8 2
 
< 0.1%
359.7 2
 
< 0.1%
359.6 6
< 0.1%
359.5 6
< 0.1%
359.4 4
< 0.1%
359.3 4
< 0.1%
359.2 2
 
< 0.1%
359.1 7
< 0.1%
359 3
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.945263
Minimum0
Maximum33
Zeros108
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:32.133196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q315
95-th percentile24
Maximum33
Range33
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8425457
Coefficient of variation (CV)0.48910984
Kurtosis0.52494943
Mean11.945263
Median Absolute Deviation (MAD)4
Skewness0.91654611
Sum312942
Variance34.13534
MonotonicityNot monotonic
2025-05-05T17:38:32.198139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 2639
 
10.1%
8 2541
 
9.7%
9 2306
 
8.8%
6 1863
 
7.1%
14 1695
 
6.5%
10 1616
 
6.2%
11 1544
 
5.9%
12 1457
 
5.6%
16 1213
 
4.6%
15 1158
 
4.4%
Other values (24) 8166
31.2%
ValueCountFrequency (%)
0 108
 
0.4%
1 32
 
0.1%
2 78
 
0.3%
3 221
 
0.8%
4 507
 
1.9%
5 1063
4.1%
6 1863
7.1%
7 2639
10.1%
8 2541
9.7%
9 2306
8.8%
ValueCountFrequency (%)
33 1
 
< 0.1%
32 24
 
0.1%
31 74
 
0.3%
30 104
 
0.4%
29 149
0.6%
28 140
0.5%
27 242
0.9%
26 131
0.5%
25 285
1.1%
24 174
0.7%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:32.261624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:32.294787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.704901
Minimum0
Maximum55
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:32.333739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q130
median34
Q337
95-th percentile47
Maximum55
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8130971
Coefficient of variation (CV)0.16750075
Kurtosis4.7364371
Mean34.704901
Median Absolute Deviation (MAD)4
Skewness-0.029319762
Sum909199
Variance33.792098
MonotonicityNot monotonic
2025-05-05T17:38:32.395153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29 5794
22.1%
36 2107
 
8.0%
35 1929
 
7.4%
37 1825
 
7.0%
34 1813
 
6.9%
33 1783
 
6.8%
32 1644
 
6.3%
31 1502
 
5.7%
30 1311
 
5.0%
38 1268
 
4.8%
Other values (19) 5222
19.9%
ValueCountFrequency (%)
0 106
 
0.4%
28 1
 
< 0.1%
29 5794
22.1%
30 1311
 
5.0%
31 1502
 
5.7%
32 1644
 
6.3%
33 1783
 
6.8%
34 1813
 
6.9%
35 1929
 
7.4%
36 2107
 
8.0%
ValueCountFrequency (%)
55 7
 
< 0.1%
54 21
 
0.1%
53 26
 
0.1%
52 32
 
0.1%
51 57
 
0.2%
50 113
 
0.4%
49 183
 
0.7%
48 454
1.7%
47 525
2.0%
46 382
1.5%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.946026
Minimum0
Maximum57
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:32.458168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q130
median34
Q338
95-th percentile48
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3152769
Coefficient of variation (CV)0.18071516
Kurtosis3.3280729
Mean34.946026
Median Absolute Deviation (MAD)4
Skewness0.1732019
Sum915516
Variance39.882723
MonotonicityNot monotonic
2025-05-05T17:38:32.517896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
29 5676
21.7%
30 2038
 
7.8%
31 1968
 
7.5%
32 1620
 
6.2%
34 1492
 
5.7%
33 1449
 
5.5%
35 1442
 
5.5%
38 1435
 
5.5%
37 1352
 
5.2%
36 1311
 
5.0%
Other values (20) 6415
24.5%
ValueCountFrequency (%)
0 106
 
0.4%
29 5676
21.7%
30 2038
 
7.8%
31 1968
 
7.5%
32 1620
 
6.2%
33 1449
 
5.5%
34 1492
 
5.7%
35 1442
 
5.5%
36 1311
 
5.0%
37 1352
 
5.2%
ValueCountFrequency (%)
57 1
 
< 0.1%
56 10
 
< 0.1%
55 27
 
0.1%
54 21
 
0.1%
53 37
 
0.1%
52 72
 
0.3%
51 119
 
0.5%
50 258
1.0%
49 479
1.8%
48 493
1.9%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.495878
Minimum0
Maximum56
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:32.709375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median35
Q339
95-th percentile47
Maximum56
Range56
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.0622134
Coefficient of variation (CV)0.17078641
Kurtosis4.0550841
Mean35.495878
Median Absolute Deviation (MAD)4
Skewness-0.081621117
Sum929921
Variance36.750432
MonotonicityNot monotonic
2025-05-05T17:38:32.768858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29 3273
12.5%
31 2315
 
8.8%
30 2292
 
8.7%
32 1963
 
7.5%
35 1594
 
6.1%
33 1562
 
6.0%
36 1550
 
5.9%
39 1484
 
5.7%
38 1475
 
5.6%
34 1468
 
5.6%
Other values (19) 7222
27.6%
ValueCountFrequency (%)
0 106
 
0.4%
29 3273
12.5%
30 2292
8.7%
31 2315
8.8%
32 1963
7.5%
33 1562
6.0%
34 1468
5.6%
35 1594
6.1%
36 1550
5.9%
37 1385
5.3%
ValueCountFrequency (%)
56 6
 
< 0.1%
55 19
 
0.1%
54 26
 
0.1%
53 22
 
0.1%
52 53
 
0.2%
51 90
 
0.3%
50 141
 
0.5%
49 377
1.4%
48 521
2.0%
47 528
2.0%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.526987
Minimum0
Maximum55
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:32.829488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q130
median33
Q338
95-th percentile47
Maximum55
Range55
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.992483
Coefficient of variation (CV)0.1735594
Kurtosis3.8672052
Mean34.526987
Median Absolute Deviation (MAD)4
Skewness0.047901731
Sum904538
Variance35.909853
MonotonicityNot monotonic
2025-05-05T17:38:32.887546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29 6223
23.7%
30 2128
 
8.1%
31 1917
 
7.3%
34 1555
 
5.9%
32 1504
 
5.7%
33 1490
 
5.7%
37 1446
 
5.5%
38 1410
 
5.4%
35 1405
 
5.4%
36 1293
 
4.9%
Other values (19) 5827
22.2%
ValueCountFrequency (%)
0 106
 
0.4%
28 1
 
< 0.1%
29 6223
23.7%
30 2128
 
8.1%
31 1917
 
7.3%
32 1504
 
5.7%
33 1490
 
5.7%
34 1555
 
5.9%
35 1405
 
5.4%
36 1293
 
4.9%
ValueCountFrequency (%)
55 5
 
< 0.1%
54 21
 
0.1%
53 26
 
0.1%
52 23
 
0.1%
51 60
 
0.2%
50 94
 
0.4%
49 154
 
0.6%
48 429
1.6%
47 555
2.1%
46 478
1.8%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct11871
Distinct (%)45.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean672.16246
Minimum-25.4
Maximum3000.8
Zeros7
Zeros (%)< 0.1%
Negative5422
Negative (%)20.7%
Memory size1.4 MiB
2025-05-05T17:38:32.957531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25.4
5-th percentile-15
Q130.625
median261.65
Q3995.05
95-th percentile2787.545
Maximum3000.8
Range3026.2
Interquartile range (IQR)964.425

Descriptive statistics

Standard deviation879.73214
Coefficient of variation (CV)1.3088088
Kurtosis0.70489164
Mean672.16246
Median Absolute Deviation (MAD)275.35
Skewness1.389706
Sum17609312
Variance773928.64
MonotonicityNot monotonic
2025-05-05T17:38:33.035044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.6 233
 
0.9%
-14.8 225
 
0.9%
-14.5 221
 
0.8%
-14.7 218
 
0.8%
-14.4 203
 
0.8%
-14.3 196
 
0.7%
-14.9 186
 
0.7%
-15 182
 
0.7%
-15.1 166
 
0.6%
-14.2 165
 
0.6%
Other values (11861) 24203
92.3%
ValueCountFrequency (%)
-25.4 1
 
< 0.1%
-20 1
 
< 0.1%
-19 1
 
< 0.1%
-18.9 2
 
< 0.1%
-18.8 1
 
< 0.1%
-18.4 3
< 0.1%
-18.3 3
< 0.1%
-18.2 2
 
< 0.1%
-18 2
 
< 0.1%
-17.9 5
< 0.1%
ValueCountFrequency (%)
3000.8 2
 
< 0.1%
3000.7 2
 
< 0.1%
3000.6 4
 
< 0.1%
3000.5 19
 
0.1%
3000.4 70
0.3%
3000.3 61
0.2%
3000.2 31
0.1%
3000.1 22
 
0.1%
3000 17
 
0.1%
2999.9 5
 
< 0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.83408275
Minimum0
Maximum1
Zeros374
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.093736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.7
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.28243332
Coefficient of variation (CV)0.33861547
Kurtosis0.24157334
Mean0.83408275
Median Absolute Deviation (MAD)0
Skewness-1.3361235
Sum21851.3
Variance0.079768581
MonotonicityNot monotonic
2025-05-05T17:38:33.147709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 18476
70.5%
0.4 4298
 
16.4%
0.9 741
 
2.8%
0.3 518
 
2.0%
0.5 412
 
1.6%
0 374
 
1.4%
0.1 342
 
1.3%
0.8 321
 
1.2%
0.2 280
 
1.1%
0.6 244
 
0.9%
ValueCountFrequency (%)
0 374
 
1.4%
0.1 342
 
1.3%
0.2 280
 
1.1%
0.3 518
 
2.0%
0.4 4298
16.4%
0.5 412
 
1.6%
0.6 244
 
0.9%
0.7 192
 
0.7%
0.8 321
 
1.2%
0.9 741
 
2.8%
ValueCountFrequency (%)
1 18476
70.5%
0.9 741
 
2.8%
0.8 321
 
1.2%
0.7 192
 
0.7%
0.6 244
 
0.9%
0.5 412
 
1.6%
0.4 4298
 
16.4%
0.3 518
 
2.0%
0.2 280
 
1.1%
0.1 342
 
1.3%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
50.0
25974 
49.9
 
113
0.0
 
106
50.1
 
5

Length

Max length4
Median length4
Mean length3.9959539
Min length3

Characters and Unicode

Total characters104686
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 25974
99.1%
49.9 113
 
0.4%
0.0 106
 
0.4%
50.1 5
 
< 0.1%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:33.208162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:33.249971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 25974
99.1%
49.9 113
 
0.4%
0.0 106
 
0.4%
50.1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52165
49.8%
. 26198
25.0%
5 25979
24.8%
9 226
 
0.2%
4 113
 
0.1%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104686
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52165
49.8%
. 26198
25.0%
5 25979
24.8%
9 226
 
0.2%
4 113
 
0.1%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104686
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52165
49.8%
. 26198
25.0%
5 25979
24.8%
9 226
 
0.2%
4 113
 
0.1%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104686
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52165
49.8%
. 26198
25.0%
5 25979
24.8%
9 226
 
0.2%
4 113
 
0.1%
1 5
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation 

Distinct393
Distinct (%)1.5%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean575.05227
Minimum0
Maximum605.4
Zeros107
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.307040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile568
Q1572.9
median577.3
Q3581.1
95-th percentile587.7
Maximum605.4
Range605.4
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation37.330593
Coefficient of variation (CV)0.064916869
Kurtosis227.04874
Mean575.05227
Median Absolute Deviation (MAD)4.1
Skewness-14.925218
Sum15065219
Variance1393.5732
MonotonicityNot monotonic
2025-05-05T17:38:33.386166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
578.5 201
 
0.8%
579.9 199
 
0.8%
577.9 197
 
0.8%
577.2 189
 
0.7%
579.8 187
 
0.7%
577.3 187
 
0.7%
578.9 186
 
0.7%
579 183
 
0.7%
581 181
 
0.7%
577.8 180
 
0.7%
Other values (383) 24308
92.8%
ValueCountFrequency (%)
0 107
0.4%
441.6 1
 
< 0.1%
564.1 1
 
< 0.1%
564.4 2
 
< 0.1%
564.5 1
 
< 0.1%
564.6 2
 
< 0.1%
564.7 2
 
< 0.1%
564.8 3
 
< 0.1%
564.9 9
 
< 0.1%
565 13
 
< 0.1%
ValueCountFrequency (%)
605.4 1
 
< 0.1%
605.1 1
 
< 0.1%
604.9 1
 
< 0.1%
604.7 1
 
< 0.1%
604.6 1
 
< 0.1%
604.3 1
 
< 0.1%
604.2 3
< 0.1%
604 2
< 0.1%
603.9 3
< 0.1%
603.8 1
 
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation 

Distinct398
Distinct (%)1.5%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean573.15501
Minimum0
Maximum602.6
Zeros107
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.464901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile566.3
Q1571.1
median575.3
Q3579.2
95-th percentile585.6
Maximum602.6
Range602.6
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation37.193671
Coefficient of variation (CV)0.064892866
Kurtosis227.38885
Mean573.15501
Median Absolute Deviation (MAD)4.1
Skewness-14.94216
Sum15015515
Variance1383.3692
MonotonicityNot monotonic
2025-05-05T17:38:33.544335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
576 199
 
0.8%
577.9 193
 
0.7%
574.6 189
 
0.7%
576.8 188
 
0.7%
575.9 188
 
0.7%
578.2 187
 
0.7%
574 187
 
0.7%
574.7 183
 
0.7%
578 182
 
0.7%
577.7 178
 
0.7%
Other values (388) 24324
92.8%
ValueCountFrequency (%)
0 107
0.4%
441 1
 
< 0.1%
560.6 1
 
< 0.1%
561.4 1
 
< 0.1%
561.6 2
 
< 0.1%
561.7 2
 
< 0.1%
561.8 6
 
< 0.1%
561.9 2
 
< 0.1%
562 1
 
< 0.1%
562.1 6
 
< 0.1%
ValueCountFrequency (%)
602.6 1
 
< 0.1%
602.5 1
 
< 0.1%
602.2 2
< 0.1%
601.9 2
< 0.1%
601.7 3
< 0.1%
601.6 1
 
< 0.1%
601.5 1
 
< 0.1%
601.3 3
< 0.1%
601.2 2
< 0.1%
601 2
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation 

Distinct421
Distinct (%)1.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean571.75025
Minimum0
Maximum602.3
Zeros107
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.622667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564.4
Q1569.5
median573.9
Q3578
95-th percentile584.4
Maximum602.3
Range602.3
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation37.143064
Coefficient of variation (CV)0.064963792
Kurtosis226.38478
Mean571.75025
Median Absolute Deviation (MAD)4.3
Skewness-14.892796
Sum14978713
Variance1379.6072
MonotonicityNot monotonic
2025-05-05T17:38:33.701755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
575.6 192
 
0.7%
573.2 180
 
0.7%
574.2 178
 
0.7%
573 178
 
0.7%
574 175
 
0.7%
577.3 174
 
0.7%
572.6 173
 
0.7%
573.9 172
 
0.7%
576 171
 
0.7%
575.3 171
 
0.7%
Other values (411) 24434
93.2%
ValueCountFrequency (%)
0 107
0.4%
439.8 1
 
< 0.1%
557.6 1
 
< 0.1%
557.7 2
 
< 0.1%
557.9 1
 
< 0.1%
558.2 1
 
< 0.1%
558.4 1
 
< 0.1%
558.5 1
 
< 0.1%
558.7 1
 
< 0.1%
558.8 2
 
< 0.1%
ValueCountFrequency (%)
602.3 1
< 0.1%
602.1 1
< 0.1%
602 1
< 0.1%
601.8 1
< 0.1%
601.7 1
< 0.1%
601.5 1
< 0.1%
601.4 1
< 0.1%
601.2 1
< 0.1%
601 1
< 0.1%
600.9 1
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9230
Distinct (%)35.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean381.35002
Minimum0
Maximum1747.3
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.781545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.6
Q123.7
median143.4
Q3542.65
95-th percentile1586.975
Maximum1747.3
Range1747.3
Interquartile range (IQR)518.95

Descriptive statistics

Standard deviation493.10897
Coefficient of variation (CV)1.2930613
Kurtosis0.89009804
Mean381.35002
Median Absolute Deviation (MAD)122.5
Skewness1.4550194
Sum9990607.9
Variance243156.46
MonotonicityNot monotonic
2025-05-05T17:38:33.858562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.7 497
 
1.9%
20.7 296
 
1.1%
21.6 275
 
1.0%
21.3 235
 
0.9%
21.4 224
 
0.9%
20.4 219
 
0.8%
20.3 214
 
0.8%
20.5 213
 
0.8%
21.5 207
 
0.8%
21.8 193
 
0.7%
Other values (9220) 23625
90.1%
ValueCountFrequency (%)
0 106
0.4%
1 1
 
< 0.1%
1.9 8
 
< 0.1%
2 4
 
< 0.1%
6.5 1
 
< 0.1%
7.5 1
 
< 0.1%
7.8 1
 
< 0.1%
8.1 1
 
< 0.1%
8.5 2
 
< 0.1%
8.7 3
 
< 0.1%
ValueCountFrequency (%)
1747.3 1
< 0.1%
1746.5 1
< 0.1%
1743.5 1
< 0.1%
1741.5 1
< 0.1%
1741 1
< 0.1%
1740.7 1
< 0.1%
1736.4 1
< 0.1%
1735.2 1
< 0.1%
1735.1 1
< 0.1%
1734.6 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9411
Distinct (%)35.9%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean393.23103
Minimum0
Maximum1786.5
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:33.934802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.1
Q125.5
median148.25
Q3570.275
95-th percentile1620.615
Maximum1786.5
Range1786.5
Interquartile range (IQR)544.775

Descriptive statistics

Standard deviation504.99291
Coefficient of variation (CV)1.2842143
Kurtosis0.82235213
Mean393.23103
Median Absolute Deviation (MAD)127.95
Skewness1.4326257
Sum10301866
Variance255017.84
MonotonicityNot monotonic
2025-05-05T17:38:34.011921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.7 553
 
2.1%
19.3 364
 
1.4%
20.6 335
 
1.3%
19.7 283
 
1.1%
19.4 240
 
0.9%
21.7 227
 
0.9%
20.3 212
 
0.8%
20.5 195
 
0.7%
21.6 170
 
0.6%
20.4 154
 
0.6%
Other values (9401) 23465
89.5%
ValueCountFrequency (%)
0 106
0.4%
1.7 3
 
< 0.1%
1.8 6
 
< 0.1%
2 4
 
< 0.1%
6.5 1
 
< 0.1%
6.8 1
 
< 0.1%
8.2 1
 
< 0.1%
9.1 1
 
< 0.1%
9.3 1
 
< 0.1%
9.6 1
 
< 0.1%
ValueCountFrequency (%)
1786.5 1
< 0.1%
1784.8 1
< 0.1%
1782.8 1
< 0.1%
1780.9 1
< 0.1%
1780.5 1
< 0.1%
1778.8 1
< 0.1%
1777 1
< 0.1%
1776.3 1
< 0.1%
1775.3 1
< 0.1%
1775 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9388
Distinct (%)35.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean394.21248
Minimum0
Maximum1775.6
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:34.220140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.8
Q127.6
median153.4
Q3567.6
95-th percentile1613.005
Maximum1775.6
Range1775.6
Interquartile range (IQR)540

Descriptive statistics

Standard deviation501.37396
Coefficient of variation (CV)1.2718369
Kurtosis0.8299666
Mean394.21248
Median Absolute Deviation (MAD)132.7
Skewness1.4329356
Sum10327578
Variance251375.85
MonotonicityNot monotonic
2025-05-05T17:38:34.298476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.7 559
 
2.1%
20.6 393
 
1.5%
21.7 366
 
1.4%
21.6 256
 
1.0%
20.3 255
 
1.0%
20.5 199
 
0.8%
20.4 199
 
0.8%
20.8 183
 
0.7%
20.2 182
 
0.7%
21.2 148
 
0.6%
Other values (9378) 23458
89.5%
ValueCountFrequency (%)
0 106
0.4%
1 12
 
< 0.1%
2 1
 
< 0.1%
9.3 1
 
< 0.1%
9.8 1
 
< 0.1%
10.8 1
 
< 0.1%
11.6 1
 
< 0.1%
12.4 1
 
< 0.1%
12.5 1
 
< 0.1%
12.6 1
 
< 0.1%
ValueCountFrequency (%)
1775.6 1
< 0.1%
1775.3 1
< 0.1%
1771.9 1
< 0.1%
1769.1 1
< 0.1%
1767.3 1
< 0.1%
1767 2
< 0.1%
1766.7 1
< 0.1%
1766.6 1
< 0.1%
1766.2 2
< 0.1%
1765.8 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct12565
Distinct (%)48.0%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean913.34426
Minimum-3276.8
Maximum3242.4
Zeros3
Zeros (%)< 0.1%
Negative4807
Negative (%)18.3%
Memory size1.4 MiB
2025-05-05T17:38:34.374011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.7
Q1144.725
median456.95
Q31480.575
95-th percentile3151.1
Maximum3242.4
Range6519.2
Interquartile range (IQR)1335.85

Descriptive statistics

Standard deviation1072.0814
Coefficient of variation (CV)1.1737978
Kurtosis0.42752409
Mean913.34426
Median Absolute Deviation (MAD)467.25
Skewness0.76660395
Sum23927793
Variance1149358.6
MonotonicityNot monotonic
2025-05-05T17:38:34.450628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11 254
 
1.0%
-11.3 240
 
0.9%
-11.2 229
 
0.9%
-11.1 223
 
0.9%
-11.6 216
 
0.8%
-10.9 211
 
0.8%
-11.8 208
 
0.8%
-10.7 205
 
0.8%
-11.7 200
 
0.8%
-10.8 190
 
0.7%
Other values (12555) 24022
91.7%
ValueCountFrequency (%)
-3276.8 106
0.4%
-22 1
 
< 0.1%
-16.1 1
 
< 0.1%
-15.8 1
 
< 0.1%
-15.7 1
 
< 0.1%
-15.4 1
 
< 0.1%
-15.3 1
 
< 0.1%
-15.1 1
 
< 0.1%
-15 2
 
< 0.1%
-14.8 1
 
< 0.1%
ValueCountFrequency (%)
3242.4 1
< 0.1%
3190 1
< 0.1%
3185.1 1
< 0.1%
3179.5 1
< 0.1%
3175.5 1
< 0.1%
3174.9 2
< 0.1%
3174.2 1
< 0.1%
3173.7 1
< 0.1%
3173.5 1
< 0.1%
3173 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct10061
Distinct (%)38.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean395.44198
Minimum-3252.3
Maximum3276.7
Zeros10
Zeros (%)< 0.1%
Negative9467
Negative (%)36.1%
Memory size1.4 MiB
2025-05-05T17:38:34.527218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3252.3
5-th percentile-52.2
Q1-24.2
median84.5
Q3457.075
95-th percentile1991.545
Maximum3276.7
Range6529
Interquartile range (IQR)481.275

Descriptive statistics

Standard deviation681.35435
Coefficient of variation (CV)1.7230198
Kurtosis3.4491015
Mean395.44198
Median Absolute Deviation (MAD)113.8
Skewness1.981018
Sum10359789
Variance464243.75
MonotonicityNot monotonic
2025-05-05T17:38:34.603433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100 212
 
0.8%
-100.1 128
 
0.5%
-25.3 126
 
0.5%
-24.7 126
 
0.5%
-24.1 125
 
0.5%
-25.1 123
 
0.5%
-24.3 123
 
0.5%
-24.5 120
 
0.5%
-24.8 119
 
0.5%
-25 117
 
0.4%
Other values (10051) 24879
94.9%
ValueCountFrequency (%)
-3252.3 1
 
< 0.1%
-3137.2 1
 
< 0.1%
-101.7 1
 
< 0.1%
-101.6 4
< 0.1%
-101.5 6
< 0.1%
-101.4 5
< 0.1%
-101.3 5
< 0.1%
-101.2 8
< 0.1%
-101.1 5
< 0.1%
-101 7
< 0.1%
ValueCountFrequency (%)
3276.7 106
0.4%
2994.5 1
 
< 0.1%
2994.3 1
 
< 0.1%
2994 1
 
< 0.1%
2993.7 1
 
< 0.1%
2993.6 1
 
< 0.1%
2993.5 1
 
< 0.1%
2993.2 1
 
< 0.1%
2993 1
 
< 0.1%
2992.8 1
 
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29.763684
Minimum0
Maximum47
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:34.672062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q126
median30
Q333
95-th percentile37
Maximum47
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.5242155
Coefficient of variation (CV)0.15200455
Kurtosis6.4026237
Mean29.763684
Median Absolute Deviation (MAD)3
Skewness-0.92032422
Sum779749
Variance20.468526
MonotonicityNot monotonic
2025-05-05T17:38:34.732989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33 3460
13.2%
32 2858
10.9%
25 2224
8.5%
27 2218
8.5%
26 2111
8.1%
34 2093
8.0%
31 1716
 
6.5%
30 1587
 
6.1%
28 1568
 
6.0%
29 1376
 
5.3%
Other values (18) 4987
19.0%
ValueCountFrequency (%)
0 106
 
0.4%
21 29
 
0.1%
22 229
 
0.9%
23 926
3.5%
24 1262
4.8%
25 2224
8.5%
26 2111
8.1%
27 2218
8.5%
28 1568
6.0%
29 1376
5.3%
ValueCountFrequency (%)
47 3
 
< 0.1%
46 9
 
< 0.1%
45 18
 
0.1%
44 36
 
0.1%
43 18
 
0.1%
42 36
 
0.1%
41 40
 
0.2%
40 119
 
0.5%
39 268
1.0%
38 429
1.6%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct4382
Distinct (%)16.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean110.9554
Minimum0
Maximum1506.9
Zeros275
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:34.804102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6
Q120
median64.4
Q3165.2
95-th percentile359.2
Maximum1506.9
Range1506.9
Interquartile range (IQR)145.2

Descriptive statistics

Standard deviation128.33668
Coefficient of variation (CV)1.1566511
Kurtosis12.471061
Mean110.9554
Median Absolute Deviation (MAD)61.2
Skewness2.4388158
Sum2906809.6
Variance16470.304
MonotonicityNot monotonic
2025-05-05T17:38:34.881140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7 937
 
3.6%
2.8 913
 
3.5%
2.6 698
 
2.7%
2.9 556
 
2.1%
2.5 363
 
1.4%
3 290
 
1.1%
0 275
 
1.0%
2.4 145
 
0.6%
3.1 145
 
0.6%
3.2 104
 
0.4%
Other values (4372) 21772
83.1%
ValueCountFrequency (%)
0 275
1.0%
0.1 12
 
< 0.1%
0.2 16
 
0.1%
0.3 15
 
0.1%
0.4 1
 
< 0.1%
0.5 8
 
< 0.1%
0.6 2
 
< 0.1%
0.7 2
 
< 0.1%
0.8 1
 
< 0.1%
0.9 1
 
< 0.1%
ValueCountFrequency (%)
1506.9 1
< 0.1%
1504.4 1
< 0.1%
1499.7 1
< 0.1%
1470.8 1
< 0.1%
1469.2 1
< 0.1%
1463.7 1
< 0.1%
1459.1 1
< 0.1%
1436.7 1
< 0.1%
1434.7 1
< 0.1%
1432.5 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct437
Distinct (%)1.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.2960188
Minimum0
Maximum48.7
Zeros18055
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:34.959230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile34.2
Maximum48.7
Range48.7
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation13.274269
Coefficient of variation (CV)1.8193853
Kurtosis0.33043328
Mean7.2960188
Median Absolute Deviation (MAD)0
Skewness1.4460668
Sum191141.1
Variance176.20623
MonotonicityNot monotonic
2025-05-05T17:38:35.038370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18055
68.9%
0.6 205
 
0.8%
0.5 173
 
0.7%
0.7 131
 
0.5%
33.4 128
 
0.5%
34 119
 
0.5%
0.4 117
 
0.4%
33.5 117
 
0.4%
32.7 117
 
0.4%
33.8 114
 
0.4%
Other values (427) 6922
 
26.4%
ValueCountFrequency (%)
0 18055
68.9%
0.1 6
 
< 0.1%
0.2 22
 
0.1%
0.3 57
 
0.2%
0.4 117
 
0.4%
0.5 173
 
0.7%
0.6 205
 
0.8%
0.7 131
 
0.5%
0.8 58
 
0.2%
0.9 22
 
0.1%
ValueCountFrequency (%)
48.7 1
 
< 0.1%
48.2 1
 
< 0.1%
48.1 2
 
< 0.1%
48 4
 
< 0.1%
47.9 4
 
< 0.1%
47.8 4
 
< 0.1%
47.7 9
< 0.1%
47.6 15
0.1%
47.5 19
0.1%
47.4 15
0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct288
Distinct (%)1.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.149198
Minimum0
Maximum49.9
Zeros232
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:35.117876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.6
median1.5
Q331.6
95-th percentile35.3
Maximum49.9
Range49.9
Interquartile range (IQR)31

Descriptive statistics

Standard deviation15.141458
Coefficient of variation (CV)1.3580759
Kurtosis-1.136058
Mean11.149198
Median Absolute Deviation (MAD)1.2
Skewness0.86506546
Sum292086.7
Variance229.26374
MonotonicityNot monotonic
2025-05-05T17:38:35.196583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 2528
 
9.6%
0.7 2321
 
8.9%
0.6 2148
 
8.2%
0.5 1016
 
3.9%
0.3 784
 
3.0%
0.4 780
 
3.0%
0.8 688
 
2.6%
0.2 662
 
2.5%
0.9 461
 
1.8%
1 382
 
1.5%
Other values (278) 14428
55.1%
ValueCountFrequency (%)
0 232
 
0.9%
0.1 2528
9.6%
0.2 662
 
2.5%
0.3 784
 
3.0%
0.4 780
 
3.0%
0.5 1016
3.9%
0.6 2148
8.2%
0.7 2321
8.9%
0.8 688
 
2.6%
0.9 461
 
1.8%
ValueCountFrequency (%)
49.9 1
 
< 0.1%
49.1 1
 
< 0.1%
49 1
 
< 0.1%
48.8 2
 
< 0.1%
48.7 1
 
< 0.1%
48.6 2
 
< 0.1%
48.5 5
< 0.1%
48.4 5
< 0.1%
48.3 3
< 0.1%
48.2 6
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct608
Distinct (%)2.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.5193564
Minimum-52.3
Maximum48.4
Zeros180
Zeros (%)0.7%
Negative21343
Negative (%)81.4%
Memory size1.4 MiB
2025-05-05T17:38:35.273089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-52.3
5-th percentile-5.4
Q1-1.8
median-0.7
Q3-0.2
95-th percentile31.6
Maximum48.4
Range100.7
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation13.363547
Coefficient of variation (CV)3.7971565
Kurtosis1.8194017
Mean3.5193564
Median Absolute Deviation (MAD)0.6
Skewness1.0946791
Sum92200.1
Variance178.58439
MonotonicityNot monotonic
2025-05-05T17:38:35.352219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 3572
 
13.6%
-0.2 2121
 
8.1%
-0.8 2059
 
7.9%
-0.3 1419
 
5.4%
-0.6 940
 
3.6%
-0.1 756
 
2.9%
-0.4 698
 
2.7%
-0.5 618
 
2.4%
-0.9 599
 
2.3%
-1 436
 
1.7%
Other values (598) 12980
49.5%
ValueCountFrequency (%)
-52.3 1
 
< 0.1%
-52.1 1
 
< 0.1%
-51.1 1
 
< 0.1%
-50.7 1
 
< 0.1%
-50 3
< 0.1%
-49.9 1
 
< 0.1%
-49.8 1
 
< 0.1%
-49.7 1
 
< 0.1%
-49.4 1
 
< 0.1%
-48.7 1
 
< 0.1%
ValueCountFrequency (%)
48.4 1
 
< 0.1%
47.9 2
 
< 0.1%
47.8 2
 
< 0.1%
47.7 2
 
< 0.1%
47.6 2
 
< 0.1%
47.5 7
< 0.1%
47.4 6
 
< 0.1%
47.3 12
< 0.1%
47.2 17
0.1%
47.1 11
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct187
Distinct (%)0.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.5489083
Minimum0
Maximum23.5
Zeros10134
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:35.429283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.5
95-th percentile12
Maximum23.5
Range23.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.6266685
Coefficient of variation (CV)2.3414352
Kurtosis6.6668893
Mean1.5489083
Median Absolute Deviation (MAD)0.2
Skewness2.779197
Sum40578.3
Variance13.152725
MonotonicityNot monotonic
2025-05-05T17:38:35.506763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10134
38.7%
0.4 2759
 
10.5%
0.3 2598
 
9.9%
0.2 1660
 
6.3%
0.1 1484
 
5.7%
0.5 1314
 
5.0%
0.6 919
 
3.5%
0.7 615
 
2.3%
0.8 220
 
0.8%
0.9 135
 
0.5%
Other values (177) 4360
16.6%
ValueCountFrequency (%)
0 10134
38.7%
0.1 1484
 
5.7%
0.2 1660
 
6.3%
0.3 2598
 
9.9%
0.4 2759
 
10.5%
0.5 1314
 
5.0%
0.6 919
 
3.5%
0.7 615
 
2.3%
0.8 220
 
0.8%
0.9 135
 
0.5%
ValueCountFrequency (%)
23.5 1
< 0.1%
22.6 1
< 0.1%
20.6 2
< 0.1%
20.2 1
< 0.1%
19.9 1
< 0.1%
18.8 1
< 0.1%
18.7 1
< 0.1%
18.6 2
< 0.1%
18 1
< 0.1%
17.8 2
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2885
Distinct (%)11.0%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean704.81934
Minimum-1
Maximum3001
Zeros3852
Zeros (%)14.7%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:38:35.581753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q145
median273
Q31046.75
95-th percentile2891
Maximum3001
Range3002
Interquartile range (IQR)1001.75

Descriptive statistics

Standard deviation904.1995
Coefficient of variation (CV)1.2828812
Kurtosis0.57036173
Mean704.81934
Median Absolute Deviation (MAD)273
Skewness1.3605146
Sum18464857
Variance817576.74
MonotonicityNot monotonic
2025-05-05T17:38:35.658860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3852
 
14.7%
3000 456
 
1.7%
23 110
 
0.4%
32 96
 
0.4%
28 96
 
0.4%
24 86
 
0.3%
22 71
 
0.3%
26 71
 
0.3%
34 70
 
0.3%
9 70
 
0.3%
Other values (2875) 21220
81.0%
ValueCountFrequency (%)
-1 1
 
< 0.1%
0 3852
14.7%
1 64
 
0.2%
2 48
 
0.2%
3 46
 
0.2%
4 50
 
0.2%
5 49
 
0.2%
6 61
 
0.2%
7 60
 
0.2%
8 61
 
0.2%
ValueCountFrequency (%)
3001 1
 
< 0.1%
3000 456
1.7%
2999 67
 
0.3%
2998 40
 
0.2%
2997 32
 
0.1%
2996 33
 
0.1%
2995 18
 
0.1%
2994 17
 
0.1%
2993 26
 
0.1%
2992 25
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3019
Distinct (%)11.5%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean971.88045
Minimum0
Maximum3150
Zeros3761
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:35.877935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1163
median487
Q31584.75
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1421.75

Descriptive statistics

Standard deviation1054.5997
Coefficient of variation (CV)1.0851126
Kurtosis-0.41708323
Mean971.88045
Median Absolute Deviation (MAD)472
Skewness1.0054702
Sum25461324
Variance1112180.5
MonotonicityNot monotonic
2025-05-05T17:38:35.953594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3761
 
14.4%
3150 1967
 
7.5%
3000 307
 
1.2%
23 61
 
0.2%
32 49
 
0.2%
28 42
 
0.2%
205 42
 
0.2%
190 41
 
0.2%
245 41
 
0.2%
235 41
 
0.2%
Other values (3009) 19846
75.7%
ValueCountFrequency (%)
0 3761
14.4%
1 1
 
< 0.1%
2 1
 
< 0.1%
8 1
 
< 0.1%
14 1
 
< 0.1%
17 2
 
< 0.1%
22 3
 
< 0.1%
23 61
 
0.2%
24 31
 
0.1%
25 7
 
< 0.1%
ValueCountFrequency (%)
3150 1967
7.5%
3149 3
 
< 0.1%
3148 1
 
< 0.1%
3147 2
 
< 0.1%
3146 7
 
< 0.1%
3145 14
 
0.1%
3144 7
 
< 0.1%
3142 5
 
< 0.1%
3141 2
 
< 0.1%
3140 8
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2676
Distinct (%)10.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean418.98527
Minimum-100
Maximum3000
Zeros4371
Zeros (%)16.7%
Negative4254
Negative (%)16.2%
Memory size1.4 MiB
2025-05-05T17:38:36.028317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-53
Q10
median95
Q3481
95-th percentile2051.15
Maximum3000
Range3100
Interquartile range (IQR)481

Descriptive statistics

Standard deviation696.51119
Coefficient of variation (CV)1.6623763
Kurtosis3.1370232
Mean418.98527
Median Absolute Deviation (MAD)112
Skewness1.959674
Sum10976576
Variance485127.84
MonotonicityNot monotonic
2025-05-05T17:38:36.103921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4371
 
16.7%
-100 795
 
3.0%
3000 294
 
1.1%
23 104
 
0.4%
32 92
 
0.4%
-45 90
 
0.3%
28 82
 
0.3%
24 80
 
0.3%
34 78
 
0.3%
-9 76
 
0.3%
Other values (2666) 20136
76.8%
ValueCountFrequency (%)
-100 795
3.0%
-99 25
 
0.1%
-98 11
 
< 0.1%
-97 7
 
< 0.1%
-96 12
 
< 0.1%
-95 4
 
< 0.1%
-94 9
 
< 0.1%
-93 6
 
< 0.1%
-92 5
 
< 0.1%
-91 7
 
< 0.1%
ValueCountFrequency (%)
3000 294
1.1%
2997 1
 
< 0.1%
2993 1
 
< 0.1%
2992 1
 
< 0.1%
2991 4
 
< 0.1%
2990 1
 
< 0.1%
2989 2
 
< 0.1%
2988 1
 
< 0.1%
2987 2
 
< 0.1%
2985 2
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct674
Distinct (%)2.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean109.8848
Minimum0
Maximum1195
Zeros4325
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:36.181391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median65
Q3165
95-th percentile359.15
Maximum1195
Range1195
Interquartile range (IQR)144

Descriptive statistics

Standard deviation122.09414
Coefficient of variation (CV)1.1111104
Kurtosis3.5872295
Mean109.8848
Median Absolute Deviation (MAD)61
Skewness1.6903126
Sum2878762
Variance14906.98
MonotonicityNot monotonic
2025-05-05T17:38:36.261189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4325
 
16.5%
29 207
 
0.8%
27 192
 
0.7%
25 191
 
0.7%
34 189
 
0.7%
33 187
 
0.7%
21 182
 
0.7%
30 180
 
0.7%
32 180
 
0.7%
22 179
 
0.7%
Other values (664) 20186
77.0%
ValueCountFrequency (%)
0 4325
16.5%
1 65
 
0.2%
2 29
 
0.1%
3 38
 
0.1%
4 52
 
0.2%
5 58
 
0.2%
6 74
 
0.3%
7 81
 
0.3%
8 84
 
0.3%
9 86
 
0.3%
ValueCountFrequency (%)
1195 1
< 0.1%
983 1
< 0.1%
974 1
< 0.1%
959 1
< 0.1%
957 1
< 0.1%
950 1
< 0.1%
884 1
< 0.1%
876 1
< 0.1%
874 1
< 0.1%
853 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.326073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.358913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.398717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.431423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.469867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.504234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.542725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.575497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.615752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.648610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.687066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.721563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.760204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.793808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:36.834834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:36.867802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Active power limit [W]
Real number (ℝ)

High correlation 

Distinct14
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2984.3927
Minimum0
Maximum3000
Zeros115
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:36.899775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation200.09937
Coefficient of variation (CV)0.067048606
Kurtosis214.45852
Mean2984.3927
Median Absolute Deviation (MAD)0
Skewness-14.608197
Sum78185120
Variance40039.758
MonotonicityNot monotonic
2025-05-05T17:38:36.952378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3000 25795
98.4%
0 115
 
0.4%
2775 69
 
0.3%
2910 55
 
0.2%
2820 36
 
0.1%
2730 33
 
0.1%
2955 26
 
0.1%
2640 17
 
0.1%
2550 16
 
0.1%
2505 11
 
< 0.1%
Other values (4) 25
 
0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 115
0.4%
1400 1
 
< 0.1%
2505 11
 
< 0.1%
2550 16
 
0.1%
2595 6
 
< 0.1%
2640 17
 
0.1%
2685 9
 
< 0.1%
2730 33
 
0.1%
2775 69
0.3%
2820 36
 
0.1%
ValueCountFrequency (%)
3000 25795
98.4%
2955 26
 
0.1%
2910 55
 
0.2%
2865 9
 
< 0.1%
2820 36
 
0.1%
2775 69
 
0.3%
2730 33
 
0.1%
2685 9
 
< 0.1%
2640 17
 
0.1%
2595 6
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26088 
0.0
 
110

Length

Max length4
Median length4
Mean length3.9958012
Min length3

Characters and Unicode

Total characters104682
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26088
99.5%
0.0 110
 
0.4%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:37.012494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:37.050333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26088
99.6%
0.0 110
 
0.4%

Most occurring characters

ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26198 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:37.092147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:37.124958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52396
66.7%
. 26198
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
1.0
26088 
0.0
 
110

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78594
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26088
99.5%
0.0 110
 
0.4%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:37.165203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:37.200400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26088
99.6%
0.0 110
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 26308
33.5%
. 26198
33.3%
1 26088
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26308
33.5%
. 26198
33.3%
1 26088
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26308
33.5%
. 26198
33.3%
1 26088
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26308
33.5%
. 26198
33.3%
1 26088
33.2%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26088 
0.0
 
110

Length

Max length4
Median length4
Mean length3.9958012
Min length3

Characters and Unicode

Total characters104682
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26088
99.5%
0.0 110
 
0.4%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:37.243846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:37.281772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26088
99.6%
0.0 110
 
0.4%

Most occurring characters

ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104682
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52176
49.8%
0 26308
25.1%
. 26198
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.640698
Minimum0
Maximum42
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:37.328052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q118
median21
Q325
95-th percentile31
Maximum42
Range42
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.59121
Coefficient of variation (CV)0.25836551
Kurtosis0.91000031
Mean21.640698
Median Absolute Deviation (MAD)4
Skewness0.35760056
Sum566943
Variance31.261629
MonotonicityNot monotonic
2025-05-05T17:38:37.393042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
18 2307
 
8.8%
25 2259
 
8.6%
17 2162
 
8.2%
19 2038
 
7.8%
21 1713
 
6.5%
20 1535
 
5.9%
16 1512
 
5.8%
26 1374
 
5.2%
22 1320
 
5.0%
23 1296
 
4.9%
Other values (25) 8682
33.1%
ValueCountFrequency (%)
0 106
 
0.4%
9 5
 
< 0.1%
10 92
 
0.4%
11 153
 
0.6%
12 263
 
1.0%
13 378
 
1.4%
14 692
 
2.6%
15 1020
3.9%
16 1512
5.8%
17 2162
8.2%
ValueCountFrequency (%)
42 30
 
0.1%
41 50
 
0.2%
40 50
 
0.2%
39 53
 
0.2%
38 63
 
0.2%
37 49
 
0.2%
36 154
0.6%
35 148
0.6%
34 212
0.8%
33 145
0.6%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct25
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean26.930186
Minimum0
Maximum43
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:37.452063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q123
median26
Q330
95-th percentile35
Maximum43
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.7332611
Coefficient of variation (CV)0.17576043
Kurtosis3.8395397
Mean26.930186
Median Absolute Deviation (MAD)3
Skewness0.046049034
Sum705517
Variance22.40376
MonotonicityNot monotonic
2025-05-05T17:38:37.513431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
23 5161
19.7%
24 2458
9.4%
22 2108
8.0%
28 1912
 
7.3%
25 1813
 
6.9%
27 1791
 
6.8%
29 1688
 
6.4%
26 1633
 
6.2%
31 1286
 
4.9%
32 1230
 
4.7%
Other values (15) 5118
19.5%
ValueCountFrequency (%)
0 106
 
0.4%
20 9
 
< 0.1%
21 488
 
1.9%
22 2108
8.0%
23 5161
19.7%
24 2458
9.4%
25 1813
 
6.9%
26 1633
 
6.2%
27 1791
 
6.8%
28 1912
 
7.3%
ValueCountFrequency (%)
43 22
 
0.1%
42 56
 
0.2%
41 103
 
0.4%
40 267
 
1.0%
39 141
 
0.5%
38 210
 
0.8%
37 132
 
0.5%
36 132
 
0.5%
35 285
 
1.1%
34 956
3.6%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.140698
Minimum0
Maximum42
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:37.577358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q117
median20
Q324
95-th percentile33
Maximum42
Range42
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8565103
Coefficient of variation (CV)0.2770254
Kurtosis0.92680885
Mean21.140698
Median Absolute Deviation (MAD)4
Skewness0.67461624
Sum553844
Variance34.298713
MonotonicityNot monotonic
2025-05-05T17:38:37.640415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
18 2185
 
8.3%
17 2171
 
8.3%
19 2064
 
7.9%
16 2037
 
7.8%
20 1784
 
6.8%
15 1644
 
6.3%
21 1608
 
6.1%
23 1509
 
5.8%
22 1373
 
5.2%
25 1278
 
4.9%
Other values (23) 8545
32.6%
ValueCountFrequency (%)
0 106
 
0.4%
11 85
 
0.3%
12 257
 
1.0%
13 483
 
1.8%
14 1106
4.2%
15 1644
6.3%
16 2037
7.8%
17 2171
8.3%
18 2185
8.3%
19 2064
7.9%
ValueCountFrequency (%)
42 39
 
0.1%
41 64
 
0.2%
40 61
 
0.2%
39 49
 
0.2%
38 101
 
0.4%
37 52
 
0.2%
36 149
0.6%
35 234
0.9%
34 292
1.1%
33 314
1.2%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.447782
Minimum0
Maximum53
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:37.700333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median36
Q340
95-th percentile45
Maximum53
Range53
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.1530904
Coefficient of variation (CV)0.14138282
Kurtosis8.8273941
Mean36.447782
Median Absolute Deviation (MAD)4
Skewness-0.92838924
Sum954859
Variance26.554341
MonotonicityNot monotonic
2025-05-05T17:38:37.898520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
32 3089
11.8%
33 2716
10.4%
34 2426
 
9.3%
31 2165
 
8.3%
35 1680
 
6.4%
37 1568
 
6.0%
38 1565
 
6.0%
36 1487
 
5.7%
40 1377
 
5.3%
39 1359
 
5.2%
Other values (17) 6766
25.8%
ValueCountFrequency (%)
0 106
 
0.4%
28 37
 
0.1%
29 63
 
0.2%
30 643
 
2.5%
31 2165
8.3%
32 3089
11.8%
33 2716
10.4%
34 2426
9.3%
35 1680
6.4%
36 1487
5.7%
ValueCountFrequency (%)
53 5
 
< 0.1%
52 34
 
0.1%
51 44
 
0.2%
50 54
 
0.2%
49 149
 
0.6%
48 160
 
0.6%
47 158
 
0.6%
46 186
 
0.7%
45 536
2.0%
44 910
3.5%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct104
Distinct (%)0.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.758798
Minimum0
Maximum124
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:37.970912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q149
median59
Q367
95-th percentile100
Maximum124
Range124
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.489203
Coefficient of variation (CV)0.3261311
Kurtosis0.98761482
Mean59.758798
Median Absolute Deviation (MAD)9
Skewness0.60907997
Sum1565561
Variance379.82902
MonotonicityNot monotonic
2025-05-05T17:38:38.050054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 935
 
3.6%
64 929
 
3.5%
57 907
 
3.5%
60 901
 
3.4%
58 898
 
3.4%
61 893
 
3.4%
65 847
 
3.2%
62 831
 
3.2%
56 797
 
3.0%
63 773
 
2.9%
Other values (94) 17487
66.7%
ValueCountFrequency (%)
0 106
 
0.4%
22 22
 
0.1%
23 10
 
< 0.1%
24 25
 
0.1%
25 46
 
0.2%
26 74
 
0.3%
27 395
1.5%
28 345
1.3%
29 311
1.2%
30 261
1.0%
ValueCountFrequency (%)
124 1
 
< 0.1%
123 10
 
< 0.1%
122 16
 
0.1%
121 33
0.1%
120 15
 
0.1%
119 11
 
< 0.1%
118 18
 
0.1%
117 41
0.2%
116 81
0.3%
115 70
0.3%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.211428
Minimum0
Maximum51
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:38.120880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q128
median32
Q335
95-th percentile41
Maximum51
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.2039003
Coefficient of variation (CV)0.16155447
Kurtosis5.0573617
Mean32.211428
Median Absolute Deviation (MAD)4
Skewness-0.42633309
Sum843875
Variance27.080578
MonotonicityNot monotonic
2025-05-05T17:38:38.189056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
34 2977
11.4%
27 2925
11.2%
28 2871
11.0%
33 2545
9.7%
29 1686
 
6.4%
35 1595
 
6.1%
32 1474
 
5.6%
26 1409
 
5.4%
31 1311
 
5.0%
30 1306
 
5.0%
Other values (24) 6099
23.3%
ValueCountFrequency (%)
0 106
 
0.4%
19 1
 
< 0.1%
20 18
 
0.1%
21 17
 
0.1%
22 12
 
< 0.1%
23 40
 
0.2%
24 70
 
0.3%
25 215
 
0.8%
26 1409
5.4%
27 2925
11.2%
ValueCountFrequency (%)
51 8
 
< 0.1%
50 21
 
0.1%
49 27
 
0.1%
48 19
 
0.1%
47 29
 
0.1%
46 64
 
0.2%
45 94
 
0.4%
44 127
 
0.5%
43 176
 
0.7%
42 563
2.1%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.17822
Minimum0
Maximum38
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:38.254102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q112
median15
Q320
95-th percentile28
Maximum38
Range38
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.9346844
Coefficient of variation (CV)0.36683174
Kurtosis0.58100739
Mean16.17822
Median Absolute Deviation (MAD)4
Skewness0.79956354
Sum423837
Variance35.220479
MonotonicityNot monotonic
2025-05-05T17:38:38.322930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12 2349
 
9.0%
11 2084
 
8.0%
14 1915
 
7.3%
15 1870
 
7.1%
10 1853
 
7.1%
13 1692
 
6.5%
16 1493
 
5.7%
17 1450
 
5.5%
19 1434
 
5.5%
18 1360
 
5.2%
Other values (24) 8698
33.2%
ValueCountFrequency (%)
0 106
 
0.4%
6 130
 
0.5%
7 241
 
0.9%
8 532
 
2.0%
9 1132
4.3%
10 1853
7.1%
11 2084
8.0%
12 2349
9.0%
13 1692
6.5%
14 1915
7.3%
ValueCountFrequency (%)
38 26
 
0.1%
37 35
 
0.1%
36 80
 
0.3%
35 44
 
0.2%
34 69
 
0.3%
33 65
 
0.2%
32 88
 
0.3%
31 160
0.6%
30 248
0.9%
29 308
1.2%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26198 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130990
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:38.388678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:38.423028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78594
60.0%
. 26198
 
20.0%
0 26198
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct407
Distinct (%)1.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-4.748893
Minimum-3276.8
Maximum89.6
Zeros318
Zeros (%)1.2%
Negative10156
Negative (%)38.8%
Memory size1.4 MiB
2025-05-05T17:38:38.471185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2
Q1-0.9
median0.8
Q316.8
95-th percentile42.2
Maximum89.6
Range3366.4
Interquartile range (IQR)17.7

Descriptive statistics

Standard deviation209.18073
Coefficient of variation (CV)-44.048313
Kurtosis239.29726
Mean-4.748893
Median Absolute Deviation (MAD)2.4
Skewness-15.484857
Sum-124411.5
Variance43756.576
MonotonicityNot monotonic
2025-05-05T17:38:38.549257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4435
 
16.9%
0.9 1171
 
4.5%
0.8 730
 
2.8%
-1.2 638
 
2.4%
-1.3 586
 
2.2%
0.7 584
 
2.2%
-1.4 569
 
2.2%
-1.1 550
 
2.1%
-0.9 533
 
2.0%
-1 528
 
2.0%
Other values (397) 15874
60.6%
ValueCountFrequency (%)
-3276.8 106
 
0.4%
-2.7 1
 
< 0.1%
-2.6 12
 
< 0.1%
-2.5 28
 
0.1%
-2.4 63
 
0.2%
-2.3 180
0.7%
-2.2 262
1.0%
-2.1 333
1.3%
-2 388
1.5%
-1.9 391
1.5%
ValueCountFrequency (%)
89.6 141
0.5%
89.5 150
0.6%
89.4 3
 
< 0.1%
89.3 12
 
< 0.1%
78.1 11
 
< 0.1%
78 327
1.2%
77.7 1
 
< 0.1%
77.6 1
 
< 0.1%
75.3 1
 
< 0.1%
74.5 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation 

Distinct221
Distinct (%)0.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.252019
Minimum-3
Maximum3276.7
Zeros256
Zeros (%)1.0%
Negative20582
Negative (%)78.5%
Memory size1.4 MiB
2025-05-05T17:38:38.626802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.7
Q3-0.7
95-th percentile20
Maximum3276.7
Range3279.7
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation208.30348
Coefficient of variation (CV)12.817083
Kurtosis239.92748
Mean16.252019
Median Absolute Deviation (MAD)0.1
Skewness15.517908
Sum425770.4
Variance43390.34
MonotonicityNot monotonic
2025-05-05T17:38:38.703650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 12869
49.1%
20 3922
 
15.0%
-2.7 1096
 
4.2%
-2.6 730
 
2.8%
-2.5 422
 
1.6%
-2.4 389
 
1.5%
-1.3 367
 
1.4%
-1.2 362
 
1.4%
-1.1 344
 
1.3%
-1 307
 
1.2%
Other values (211) 5390
20.6%
ValueCountFrequency (%)
-3 2
 
< 0.1%
-2.9 1
 
< 0.1%
-2.8 12869
49.1%
-2.7 1096
 
4.2%
-2.6 730
 
2.8%
-2.5 422
 
1.6%
-2.4 389
 
1.5%
-2.3 294
 
1.1%
-2.2 208
 
0.8%
-2.1 199
 
0.8%
ValueCountFrequency (%)
3276.7 106
 
0.4%
89.6 91
 
0.3%
89.5 136
0.5%
89.4 1
 
< 0.1%
89.3 16
 
0.1%
84.3 1
 
< 0.1%
78.8 2
 
< 0.1%
78 271
1.0%
77.7 1
 
< 0.1%
77.1 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct359
Distinct (%)1.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.8069089
Minimum-2.7
Maximum89.6
Zeros543
Zeros (%)2.1%
Negative16591
Negative (%)63.3%
Memory size1.4 MiB
2025-05-05T17:38:38.781062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.5
Q1-2.3
median-1
Q35.3
95-th percentile20
Maximum89.6
Range92.3
Interquartile range (IQR)7.6

Descriptive statistics

Standard deviation14.405023
Coefficient of variation (CV)2.9967331
Kurtosis17.187891
Mean4.8069089
Median Absolute Deviation (MAD)1.4
Skewness3.7614302
Sum125931.4
Variance207.50468
MonotonicityNot monotonic
2025-05-05T17:38:38.860216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3896
 
14.9%
-2.5 3172
 
12.1%
-2.4 1735
 
6.6%
-2.3 1006
 
3.8%
-2.6 984
 
3.8%
-2.2 753
 
2.9%
-2.1 625
 
2.4%
-1.9 608
 
2.3%
-1.8 559
 
2.1%
0 543
 
2.1%
Other values (349) 12317
47.0%
ValueCountFrequency (%)
-2.7 133
 
0.5%
-2.6 984
 
3.8%
-2.5 3172
12.1%
-2.4 1735
6.6%
-2.3 1006
 
3.8%
-2.2 753
 
2.9%
-2.1 625
 
2.4%
-2 535
 
2.0%
-1.9 608
 
2.3%
-1.8 559
 
2.1%
ValueCountFrequency (%)
89.6 91
0.3%
89.5 136
0.5%
89.4 5
 
< 0.1%
89.3 16
 
0.1%
89.2 1
 
< 0.1%
88.9 2
 
< 0.1%
88.5 1
 
< 0.1%
88 1
 
< 0.1%
87.4 1
 
< 0.1%
87.1 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct194
Distinct (%)0.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.1926559
Minimum0
Maximum44.5
Zeros4850
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:38.938136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.4
Q31
95-th percentile7.1
Maximum44.5
Range44.5
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation2.6152416
Coefficient of variation (CV)2.192788
Kurtosis53.714188
Mean1.1926559
Median Absolute Deviation (MAD)0.3
Skewness5.7390412
Sum31245.2
Variance6.8394888
MonotonicityNot monotonic
2025-05-05T17:38:39.015694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4850
18.5%
0.1 2955
11.3%
0.2 2600
 
9.9%
0.3 2139
 
8.2%
0.4 1956
 
7.5%
0.5 1583
 
6.0%
0.6 1278
 
4.9%
0.7 1014
 
3.9%
0.8 665
 
2.5%
0.9 492
 
1.9%
Other values (184) 6666
25.4%
ValueCountFrequency (%)
0 4850
18.5%
0.1 2955
11.3%
0.2 2600
9.9%
0.3 2139
8.2%
0.4 1956
7.5%
0.5 1583
 
6.0%
0.6 1278
 
4.9%
0.7 1014
 
3.9%
0.8 665
 
2.5%
0.9 492
 
1.9%
ValueCountFrequency (%)
44.5 1
< 0.1%
44.2 1
< 0.1%
43.8 1
< 0.1%
42.5 1
< 0.1%
42.4 1
< 0.1%
42.2 1
< 0.1%
41.7 1
< 0.1%
39.2 1
< 0.1%
37.9 1
< 0.1%
37.5 1
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct64
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean40.79132
Minimum0
Maximum86
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.092817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q132
median36
Q344
95-th percentile72
Maximum86
Range86
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.499693
Coefficient of variation (CV)0.33094524
Kurtosis1.1392478
Mean40.79132
Median Absolute Deviation (MAD)5
Skewness1.2837951
Sum1068651
Variance182.24171
MonotonicityNot monotonic
2025-05-05T17:38:39.167261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 2490
 
9.5%
32 2008
 
7.7%
31 1907
 
7.3%
29 1528
 
5.8%
33 1368
 
5.2%
34 1304
 
5.0%
36 1223
 
4.7%
35 1219
 
4.7%
38 1185
 
4.5%
40 1114
 
4.3%
Other values (54) 10852
41.4%
ValueCountFrequency (%)
0 106
 
0.4%
24 31
 
0.1%
25 22
 
0.1%
26 12
 
< 0.1%
27 8
 
< 0.1%
28 397
 
1.5%
29 1528
5.8%
30 2490
9.5%
31 1907
7.3%
32 2008
7.7%
ValueCountFrequency (%)
86 10
 
< 0.1%
85 5
 
< 0.1%
84 3
 
< 0.1%
83 4
 
< 0.1%
82 3
 
< 0.1%
81 16
 
0.1%
80 67
0.3%
79 131
0.5%
78 140
0.5%
77 152
0.6%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean44.713871
Minimum0
Maximum89
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.380279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q135
median39
Q349
95-th percentile75
Maximum89
Range89
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.874047
Coefficient of variation (CV)0.31028508
Kurtosis0.78314124
Mean44.713871
Median Absolute Deviation (MAD)5
Skewness1.1328381
Sum1171414
Variance192.48918
MonotonicityNot monotonic
2025-05-05T17:38:39.454195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 2285
 
8.7%
33 2187
 
8.3%
35 1676
 
6.4%
38 1622
 
6.2%
36 1591
 
6.1%
37 1331
 
5.1%
39 1181
 
4.5%
32 1093
 
4.2%
42 1006
 
3.8%
40 1001
 
3.8%
Other values (53) 11225
42.8%
ValueCountFrequency (%)
0 106
 
0.4%
28 32
 
0.1%
29 23
 
0.1%
30 12
 
< 0.1%
31 30
 
0.1%
32 1093
4.2%
33 2187
8.3%
34 2285
8.7%
35 1676
6.4%
36 1591
6.1%
ValueCountFrequency (%)
89 6
 
< 0.1%
88 6
 
< 0.1%
87 4
 
< 0.1%
86 3
 
< 0.1%
85 6
 
< 0.1%
84 81
0.3%
83 98
0.4%
82 122
0.5%
81 122
0.5%
80 124
0.5%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct68
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43.031186
Minimum0
Maximum90
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.530148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median38
Q346
95-th percentile76
Maximum90
Range90
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.206349
Coefficient of variation (CV)0.33014077
Kurtosis0.98594336
Mean43.031186
Median Absolute Deviation (MAD)6
Skewness1.2486946
Sum1127331
Variance201.82034
MonotonicityNot monotonic
2025-05-05T17:38:39.605142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 2515
 
9.6%
34 1977
 
7.5%
31 1663
 
6.3%
36 1563
 
6.0%
33 1491
 
5.7%
37 1247
 
4.8%
35 1214
 
4.6%
38 1111
 
4.2%
41 1062
 
4.1%
40 1042
 
4.0%
Other values (58) 11313
43.2%
ValueCountFrequency (%)
0 106
 
0.4%
24 26
 
0.1%
25 16
 
0.1%
26 21
 
0.1%
27 8
 
< 0.1%
28 6
 
< 0.1%
29 49
 
0.2%
30 861
 
3.3%
31 1663
6.3%
32 2515
9.6%
ValueCountFrequency (%)
90 5
 
< 0.1%
89 7
 
< 0.1%
88 3
 
< 0.1%
87 4
 
< 0.1%
86 5
 
< 0.1%
85 8
 
< 0.1%
84 34
 
0.1%
83 38
 
0.1%
82 84
0.3%
81 189
0.7%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean41.408886
Minimum0
Maximum61
Zeros106
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.677602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q137
median40
Q345
95-th percentile53
Maximum61
Range61
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.2390875
Coefficient of variation (CV)0.15067026
Kurtosis6.9608127
Mean41.408886
Median Absolute Deviation (MAD)4
Skewness-0.63231489
Sum1084830
Variance38.926213
MonotonicityNot monotonic
2025-05-05T17:38:39.752946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
36 2401
 
9.2%
35 2145
 
8.2%
40 2093
 
8.0%
37 1923
 
7.3%
39 1823
 
7.0%
42 1726
 
6.6%
38 1718
 
6.6%
41 1687
 
6.4%
43 1532
 
5.8%
44 1469
 
5.6%
Other values (39) 7681
29.3%
ValueCountFrequency (%)
0 106
0.4%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 3
 
< 0.1%
17 1
 
< 0.1%
18 5
 
< 0.1%
19 2
 
< 0.1%
20 4
 
< 0.1%
21 4
 
< 0.1%
22 2
 
< 0.1%
ValueCountFrequency (%)
61 4
 
< 0.1%
60 12
 
< 0.1%
59 8
 
< 0.1%
58 22
 
0.1%
57 68
 
0.3%
56 162
 
0.6%
55 256
1.0%
54 408
1.6%
53 518
2.0%
52 610
2.3%
Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.6 MiB
600.0
26198 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130990
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26198
> 99.9%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:39.821071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:39.854258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26198
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78594
60.0%
6 26198
 
20.0%
. 26198
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78594
60.0%
6 26198
 
20.0%
. 26198
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78594
60.0%
6 26198
 
20.0%
. 26198
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78594
60.0%
6 26198
 
20.0%
. 26198
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean597.49889
Minimum0
Maximum600
Zeros105
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.885541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.391465
Coefficient of variation (CV)0.064253616
Kurtosis236.33614
Mean597.49889
Median Absolute Deviation (MAD)0
Skewness-15.420663
Sum15653276
Variance1473.9045
MonotonicityNot monotonic
2025-05-05T17:38:39.936784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
600 26081
99.5%
0 105
 
0.4%
565 2
 
< 0.1%
511 2
 
< 0.1%
518 1
 
< 0.1%
465 1
 
< 0.1%
488 1
 
< 0.1%
530 1
 
< 0.1%
83 1
 
< 0.1%
259 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 105
0.4%
12 1
 
< 0.1%
83 1
 
< 0.1%
169 1
 
< 0.1%
259 1
 
< 0.1%
465 1
 
< 0.1%
488 1
 
< 0.1%
511 2
 
< 0.1%
518 1
 
< 0.1%
530 1
 
< 0.1%
ValueCountFrequency (%)
600 26081
99.5%
565 2
 
< 0.1%
530 1
 
< 0.1%
518 1
 
< 0.1%
511 2
 
< 0.1%
488 1
 
< 0.1%
465 1
 
< 0.1%
259 1
 
< 0.1%
169 1
 
< 0.1%
83 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct40
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean591.88312
Minimum0
Maximum600
Zeros336
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:39.999398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.728461
Coefficient of variation (CV)0.1161183
Kurtosis69.274445
Mean591.88312
Median Absolute Deviation (MAD)0
Skewness-8.4281017
Sum15506154
Variance4723.6013
MonotonicityNot monotonic
2025-05-05T17:38:40.069563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
600 25822
98.5%
0 336
 
1.3%
286 2
 
< 0.1%
169 2
 
< 0.1%
488 1
 
< 0.1%
26 1
 
< 0.1%
268 1
 
< 0.1%
307 1
 
< 0.1%
444 1
 
< 0.1%
399 1
 
< 0.1%
Other values (30) 30
 
0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 336
1.3%
11 1
 
< 0.1%
12 1
 
< 0.1%
26 1
 
< 0.1%
55 1
 
< 0.1%
61 1
 
< 0.1%
63 1
 
< 0.1%
83 1
 
< 0.1%
89 1
 
< 0.1%
91 1
 
< 0.1%
ValueCountFrequency (%)
600 25822
98.5%
588 1
 
< 0.1%
585 1
 
< 0.1%
571 1
 
< 0.1%
565 1
 
< 0.1%
556 1
 
< 0.1%
541 1
 
< 0.1%
530 1
 
< 0.1%
517 1
 
< 0.1%
511 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct49
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean589.94351
Minimum0
Maximum600
Zeros416
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:40.143813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.324967
Coefficient of variation (CV)0.12937674
Kurtosis54.919022
Mean589.94351
Median Absolute Deviation (MAD)0
Skewness-7.5295837
Sum15455340
Variance5825.5006
MonotonicityNot monotonic
2025-05-05T17:38:40.219316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
600 25735
98.2%
0 416
 
1.6%
307 1
 
< 0.1%
488 1
 
< 0.1%
268 1
 
< 0.1%
26 1
 
< 0.1%
151 1
 
< 0.1%
193 1
 
< 0.1%
465 1
 
< 0.1%
518 1
 
< 0.1%
Other values (39) 39
 
0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 416
1.6%
11 1
 
< 0.1%
26 1
 
< 0.1%
48 1
 
< 0.1%
55 1
 
< 0.1%
61 1
 
< 0.1%
63 1
 
< 0.1%
82 1
 
< 0.1%
89 1
 
< 0.1%
91 1
 
< 0.1%
ValueCountFrequency (%)
600 25735
98.2%
588 1
 
< 0.1%
585 1
 
< 0.1%
571 1
 
< 0.1%
565 1
 
< 0.1%
518 1
 
< 0.1%
512 1
 
< 0.1%
508 1
 
< 0.1%
500 1
 
< 0.1%
488 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct93
Distinct (%)0.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean583.17555
Minimum0
Maximum600
Zeros690
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:40.295994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation98.016753
Coefficient of variation (CV)0.16807418
Kurtosis30.86492
Mean583.17555
Median Absolute Deviation (MAD)0
Skewness-5.718919
Sum15278033
Variance9607.284
MonotonicityNot monotonic
2025-05-05T17:38:40.373080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25415
97.0%
0 690
 
2.6%
565 2
 
< 0.1%
86 2
 
< 0.1%
304 1
 
< 0.1%
488 1
 
< 0.1%
23 1
 
< 0.1%
496 1
 
< 0.1%
376 1
 
< 0.1%
276 1
 
< 0.1%
Other values (83) 83
 
0.3%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 690
2.6%
1 1
 
< 0.1%
3 1
 
< 0.1%
11 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
42 1
 
< 0.1%
45 1
 
< 0.1%
ValueCountFrequency (%)
600 25415
97.0%
596 1
 
< 0.1%
593 1
 
< 0.1%
588 1
 
< 0.1%
582 1
 
< 0.1%
574 1
 
< 0.1%
573 1
 
< 0.1%
571 1
 
< 0.1%
565 2
 
< 0.1%
562 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct446
Distinct (%)1.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean201.53004
Minimum0
Maximum600
Zeros17001
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:40.449935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation279.88094
Coefficient of variation (CV)1.3887802
Kurtosis-1.4951431
Mean201.53004
Median Absolute Deviation (MAD)0
Skewness0.69426384
Sum5279684
Variance78333.34
MonotonicityNot monotonic
2025-05-05T17:38:40.528264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17001
64.9%
600 8379
32.0%
35 5
 
< 0.1%
292 5
 
< 0.1%
137 5
 
< 0.1%
123 5
 
< 0.1%
464 5
 
< 0.1%
499 5
 
< 0.1%
238 5
 
< 0.1%
474 5
 
< 0.1%
Other values (436) 778
 
3.0%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 17001
64.9%
1 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
600 8379
32.0%
599 1
 
< 0.1%
598 2
 
< 0.1%
596 3
 
< 0.1%
594 1
 
< 0.1%
592 1
 
< 0.1%
591 1
 
< 0.1%
590 3
 
< 0.1%
589 1
 
< 0.1%
588 4
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct594
Distinct (%)2.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean266.30247
Minimum0
Maximum600
Zeros13146
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:40.607857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation285.22056
Coefficient of variation (CV)1.0710399
Kurtosis-1.8832459
Mean266.30247
Median Absolute Deviation (MAD)0
Skewness0.21663105
Sum6976592
Variance81350.769
MonotonicityNot monotonic
2025-05-05T17:38:40.685838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13146
50.2%
600 9599
36.6%
563 21
 
0.1%
550 19
 
0.1%
537 17
 
0.1%
574 16
 
0.1%
559 16
 
0.1%
553 16
 
0.1%
588 16
 
0.1%
566 16
 
0.1%
Other values (584) 3316
 
12.7%
ValueCountFrequency (%)
0 13146
50.2%
1 4
 
< 0.1%
3 3
 
< 0.1%
4 7
 
< 0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 6
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
600 9599
36.6%
599 2
 
< 0.1%
598 3
 
< 0.1%
597 6
 
< 0.1%
596 3
 
< 0.1%
595 2
 
< 0.1%
594 4
 
< 0.1%
593 4
 
< 0.1%
592 4
 
< 0.1%
591 6
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct303
Distinct (%)1.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.586419
Minimum0
Maximum600
Zeros9816
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:40.762760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q347
95-th percentile110
Maximum600
Range600
Interquartile range (IQR)47

Descriptive statistics

Standard deviation41.830441
Coefficient of variation (CV)1.3243173
Kurtosis17.566558
Mean31.586419
Median Absolute Deviation (MAD)19
Skewness2.8591902
Sum827501
Variance1749.7858
MonotonicityNot monotonic
2025-05-05T17:38:40.841029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9816
37.5%
16 413
 
1.6%
15 390
 
1.5%
17 384
 
1.5%
19 382
 
1.5%
13 376
 
1.4%
14 373
 
1.4%
18 347
 
1.3%
20 336
 
1.3%
21 328
 
1.3%
Other values (293) 13053
49.8%
ValueCountFrequency (%)
0 9816
37.5%
1 19
 
0.1%
2 24
 
0.1%
3 23
 
0.1%
4 27
 
0.1%
5 18
 
0.1%
6 26
 
0.1%
7 28
 
0.1%
8 24
 
0.1%
9 30
 
0.1%
ValueCountFrequency (%)
600 6
< 0.1%
580 1
 
< 0.1%
543 1
 
< 0.1%
504 1
 
< 0.1%
440 1
 
< 0.1%
401 1
 
< 0.1%
391 1
 
< 0.1%
380 1
 
< 0.1%
374 1
 
< 0.1%
362 2
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct31
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.5871822
Minimum0
Maximum600
Zeros25939
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.049109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.088469
Coefficient of variation (CV)10.217757
Kurtosis102.82084
Mean5.5871822
Median Absolute Deviation (MAD)0
Skewness10.218796
Sum146373
Variance3259.0933
MonotonicityNot monotonic
2025-05-05T17:38:41.112392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 25939
99.0%
600 229
 
0.9%
511 2
 
< 0.1%
331 1
 
< 0.1%
574 1
 
< 0.1%
201 1
 
< 0.1%
293 1
 
< 0.1%
545 1
 
< 0.1%
314 1
 
< 0.1%
223 1
 
< 0.1%
Other values (21) 21
 
0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 25939
99.0%
11 1
 
< 0.1%
15 1
 
< 0.1%
29 1
 
< 0.1%
43 1
 
< 0.1%
83 1
 
< 0.1%
99 1
 
< 0.1%
123 1
 
< 0.1%
140 1
 
< 0.1%
144 1
 
< 0.1%
ValueCountFrequency (%)
600 229
0.9%
589 1
 
< 0.1%
574 1
 
< 0.1%
545 1
 
< 0.1%
539 1
 
< 0.1%
536 1
 
< 0.1%
511 2
 
< 0.1%
509 1
 
< 0.1%
500 1
 
< 0.1%
462 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct79
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean585.70433
Minimum0
Maximum600
Zeros582
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.185255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.552631
Coefficient of variation (CV)0.15460468
Kurtosis37.218512
Mean585.70433
Median Absolute Deviation (MAD)0
Skewness-6.2481055
Sum15344282
Variance8199.779
MonotonicityNot monotonic
2025-05-05T17:38:41.262408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25530
97.4%
0 582
 
2.2%
1 3
 
< 0.1%
324 2
 
< 0.1%
565 2
 
< 0.1%
307 2
 
< 0.1%
540 2
 
< 0.1%
556 2
 
< 0.1%
286 2
 
< 0.1%
169 2
 
< 0.1%
Other values (69) 69
 
0.3%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 582
2.2%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
600 25530
97.4%
593 1
 
< 0.1%
588 1
 
< 0.1%
585 1
 
< 0.1%
583 1
 
< 0.1%
571 1
 
< 0.1%
565 2
 
< 0.1%
562 1
 
< 0.1%
556 2
 
< 0.1%
540 2
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct598
Distinct (%)2.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean406.03561
Minimum0
Maximum600
Zeros6950
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.339783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation268.06363
Coefficient of variation (CV)0.66019733
Kurtosis-1.3435844
Mean406.03561
Median Absolute Deviation (MAD)0
Skewness-0.7567007
Sum10637321
Variance71858.109
MonotonicityNot monotonic
2025-05-05T17:38:41.418674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 16064
61.3%
0 6950
26.5%
493 13
 
< 0.1%
597 13
 
< 0.1%
532 12
 
< 0.1%
227 12
 
< 0.1%
592 11
 
< 0.1%
80 11
 
< 0.1%
47 11
 
< 0.1%
589 11
 
< 0.1%
Other values (588) 3090
 
11.8%
ValueCountFrequency (%)
0 6950
26.5%
1 4
 
< 0.1%
2 10
 
< 0.1%
3 8
 
< 0.1%
4 3
 
< 0.1%
5 7
 
< 0.1%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 6
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
600 16064
61.3%
599 9
 
< 0.1%
598 4
 
< 0.1%
597 13
 
< 0.1%
596 8
 
< 0.1%
595 7
 
< 0.1%
594 7
 
< 0.1%
593 5
 
< 0.1%
592 11
 
< 0.1%
591 5
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct91
Distinct (%)0.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean14.263341
Minimum0
Maximum600
Zeros25526
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.497144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.286985
Coefficient of variation (CV)6.3300027
Kurtosis37.328451
Mean14.263341
Median Absolute Deviation (MAD)0
Skewness6.2537912
Sum373671
Variance8151.7396
MonotonicityNot monotonic
2025-05-05T17:38:41.574170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25526
97.4%
600 579
 
2.2%
372 2
 
< 0.1%
153 2
 
< 0.1%
539 2
 
< 0.1%
514 2
 
< 0.1%
26 1
 
< 0.1%
223 1
 
< 0.1%
27 1
 
< 0.1%
577 1
 
< 0.1%
Other values (81) 81
 
0.3%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 25526
97.4%
3 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
18 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
600 579
2.2%
599 1
 
< 0.1%
597 1
 
< 0.1%
589 1
 
< 0.1%
583 1
 
< 0.1%
579 1
 
< 0.1%
577 1
 
< 0.1%
575 1
 
< 0.1%
558 1
 
< 0.1%
552 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4352
Distinct (%)16.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38242722
Minimum30380400
Maximum46105200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.652490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum30380400
5-th percentile31165200
Q134311600
median38242800
Q342174000
95-th percentile45320400
Maximum46105200
Range15724800
Interquartile range (IQR)7862400

Descriptive statistics

Standard deviation4539797.9
Coefficient of variation (CV)0.11871012
Kurtosis-1.2000112
Mean38242722
Median Absolute Deviation (MAD)3931200
Skewness4.6683146 × 10-5
Sum1.0018828 × 1012
Variance2.0609765 × 1013
MonotonicityIncreasing
2025-05-05T17:38:41.735193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41248800 101
 
0.4%
41238000 15
 
0.1%
40654800 6
 
< 0.1%
40651200 6
 
< 0.1%
40647600 6
 
< 0.1%
40816800 6
 
< 0.1%
40813200 6
 
< 0.1%
40809600 6
 
< 0.1%
40806000 6
 
< 0.1%
40831200 6
 
< 0.1%
Other values (4342) 26034
99.3%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
30380400 3
< 0.1%
30384000 6
< 0.1%
30387600 6
< 0.1%
30391200 6
< 0.1%
30394800 6
< 0.1%
30398400 6
< 0.1%
30402000 6
< 0.1%
30405600 6
< 0.1%
30409200 6
< 0.1%
30412800 6
< 0.1%
ValueCountFrequency (%)
46105200 3
< 0.1%
46101600 6
< 0.1%
46098000 6
< 0.1%
46094400 6
< 0.1%
46090800 6
< 0.1%
46087200 6
< 0.1%
46083600 6
< 0.1%
46080000 6
< 0.1%
46076400 6
< 0.1%
46072800 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation 

Distinct26093
Distinct (%)99.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37947204
Minimum30106220
Maximum45763852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.818885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum30106220
5-th percentile30892130
Q134035662
median37965896
Q341834386
95-th percentile44977943
Maximum45763852
Range15657632
Interquartile range (IQR)7798724

Descriptive statistics

Standard deviation4515698.1
Coefficient of variation (CV)0.11899949
Kurtosis-1.1988212
Mean37947204
Median Absolute Deviation (MAD)3899512
Skewness-0.0068567336
Sum9.9414084 × 1011
Variance2.0391529 × 1013
MonotonicityIncreasing
2025-05-05T17:38:41.902125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40969424 97
 
0.4%
40966276 9
 
< 0.1%
40969408 2
 
< 0.1%
40549792 1
 
< 0.1%
40549192 1
 
< 0.1%
40548592 1
 
< 0.1%
40547996 1
 
< 0.1%
40547392 1
 
< 0.1%
40546792 1
 
< 0.1%
40546192 1
 
< 0.1%
Other values (26083) 26083
99.5%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
30106220 1
< 0.1%
30106820 1
< 0.1%
30107420 1
< 0.1%
30108020 1
< 0.1%
30108622 1
< 0.1%
30109220 1
< 0.1%
30109820 1
< 0.1%
30110420 1
< 0.1%
30111020 1
< 0.1%
30111622 1
< 0.1%
ValueCountFrequency (%)
45763852 1
< 0.1%
45763252 1
< 0.1%
45762652 1
< 0.1%
45762052 1
< 0.1%
45761452 1
< 0.1%
45760852 1
< 0.1%
45760252 1
< 0.1%
45759656 1
< 0.1%
45759052 1
< 0.1%
45758452 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation 

Distinct25863
Distinct (%)98.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37684002
Minimum29878370
Maximum45388880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:41.984913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29878370
5-th percentile30664280
Q133805211
median37705752
Q341541094
95-th percentile44632143
Maximum45388880
Range15510510
Interquartile range (IQR)7735883

Descriptive statistics

Standard deviation4479960.1
Coefficient of variation (CV)0.11888228
Kurtosis-1.2008015
Mean37684002
Median Absolute Deviation (MAD)3868092
Skewness-0.016031424
Sum9.8724547 × 1011
Variance2.0070043 × 1013
MonotonicityIncreasing
2025-05-05T17:38:42.068002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40684940 96
 
0.4%
37681884 38
 
0.1%
40681972 38
 
0.1%
44440064 35
 
0.1%
43163032 30
 
0.1%
44927224 29
 
0.1%
43090448 23
 
0.1%
44859436 20
 
0.1%
40777008 12
 
< 0.1%
40683132 9
 
< 0.1%
Other values (25853) 25868
98.7%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
29878370 1
< 0.1%
29878970 1
< 0.1%
29879570 1
< 0.1%
29880170 1
< 0.1%
29880772 1
< 0.1%
29881368 1
< 0.1%
29881968 1
< 0.1%
29882568 1
< 0.1%
29883170 1
< 0.1%
29883772 1
< 0.1%
ValueCountFrequency (%)
45388880 1
< 0.1%
45388284 1
< 0.1%
45387680 1
< 0.1%
45387084 1
< 0.1%
45386484 1
< 0.1%
45385884 1
< 0.1%
45385284 1
< 0.1%
45384684 1
< 0.1%
45384084 1
< 0.1%
45383484 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25782
Distinct (%)98.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37535023
Minimum29744248
Maximum45203940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:42.150888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29744248
5-th percentile30530158
Q133669835
median37570404
Q341356282
95-th percentile44447346
Maximum45203940
Range15459692
Interquartile range (IQR)7686447

Descriptive statistics

Standard deviation4462310.3
Coefficient of variation (CV)0.11888391
Kurtosis-1.2004705
Mean37535023
Median Absolute Deviation (MAD)3843376
Skewness-0.021798857
Sum9.8334253 × 1011
Variance1.9912213 × 1013
MonotonicityIncreasing
2025-05-05T17:38:42.232422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40549144 131
 
0.5%
40546456 38
 
0.1%
37546536 38
 
0.1%
44255268 35
 
0.1%
42978276 30
 
0.1%
44742284 29
 
0.1%
40989656 26
 
0.1%
42905696 23
 
0.1%
44674640 20
 
0.1%
41221412 19
 
0.1%
Other values (25772) 25809
98.5%
ValueCountFrequency (%)
29744248 1
< 0.1%
29744848 1
< 0.1%
29745448 1
< 0.1%
29746048 1
< 0.1%
29746648 1
< 0.1%
29747248 1
< 0.1%
29747848 1
< 0.1%
29748448 1
< 0.1%
29749048 1
< 0.1%
29749648 1
< 0.1%
ValueCountFrequency (%)
45203940 1
< 0.1%
45203344 1
< 0.1%
45202740 1
< 0.1%
45202140 1
< 0.1%
45201540 1
< 0.1%
45200940 1
< 0.1%
45200340 1
< 0.1%
45199744 1
< 0.1%
45199140 1
< 0.1%
45198540 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25508
Distinct (%)97.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37060572
Minimum29349202
Maximum44631588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:42.310282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29349202
5-th percentile30135112
Q133255275
median37056816
Q340836174
95-th percentile43875174
Maximum44631588
Range15282386
Interquartile range (IQR)7580899

Descriptive statistics

Standard deviation4401920.1
Coefficient of variation (CV)0.11877637
Kurtosis-1.1949899
Mean37060572
Median Absolute Deviation (MAD)3790600
Skewness-0.023963611
Sum9.7091287 × 1011
Variance1.93769 × 1013
MonotonicityIncreasing
2025-05-05T17:38:42.392438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40030112 133
 
0.5%
36637520 78
 
0.3%
42552640 50
 
0.2%
37032944 38
 
0.1%
40029080 38
 
0.1%
43683096 35
 
0.1%
36638384 32
 
0.1%
42456208 30
 
0.1%
44169932 29
 
0.1%
40469608 26
 
0.1%
Other values (25498) 25709
98.1%
ValueCountFrequency (%)
29349202 1
< 0.1%
29349802 1
< 0.1%
29350402 1
< 0.1%
29351002 1
< 0.1%
29351604 1
< 0.1%
29352200 1
< 0.1%
29352800 1
< 0.1%
29353400 1
< 0.1%
29354002 1
< 0.1%
29354604 1
< 0.1%
ValueCountFrequency (%)
44631588 1
< 0.1%
44630992 1
< 0.1%
44630388 1
< 0.1%
44629788 1
< 0.1%
44629188 1
< 0.1%
44628588 1
< 0.1%
44627988 1
< 0.1%
44627392 1
< 0.1%
44626788 1
< 0.1%
44626188 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct9198
Distinct (%)35.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12898813
Minimum10151527
Maximum15431242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:42.620176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10151527
5-th percentile10458715
Q111437634
median12951486
Q314225226
95-th percentile15286815
Maximum15431242
Range5279715
Interquartile range (IQR)2787592

Descriptive statistics

Standard deviation1560852.1
Coefficient of variation (CV)0.12100742
Kurtosis-1.2170476
Mean12898813
Median Absolute Deviation (MAD)1381418.5
Skewness-0.16641831
Sum3.3792311 × 1011
Variance2.4362594 × 1012
MonotonicityIncreasing
2025-05-05T17:38:42.701975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13434673 725
 
2.8%
11085348 647
 
2.5%
13786330 526
 
2.0%
12773243 492
 
1.9%
15361136 491
 
1.9%
14357765 475
 
1.8%
10570836 427
 
1.6%
14225226 405
 
1.5%
14106722 399
 
1.5%
13548999 374
 
1.4%
Other values (9188) 21237
81.0%
ValueCountFrequency (%)
10151527 113
0.4%
10152001 1
 
< 0.1%
10152601 1
 
< 0.1%
10153202 1
 
< 0.1%
10153802 1
 
< 0.1%
10154402 1
 
< 0.1%
10155004 1
 
< 0.1%
10155602 1
 
< 0.1%
10156203 1
 
< 0.1%
10156802 1
 
< 0.1%
ValueCountFrequency (%)
15431242 97
0.4%
15430926 1
 
< 0.1%
15430324 1
 
< 0.1%
15429724 1
 
< 0.1%
15429123 1
 
< 0.1%
15428523 1
 
< 0.1%
15427923 1
 
< 0.1%
15427325 1
 
< 0.1%
15426723 1
 
< 0.1%
15426124 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct13049
Distinct (%)49.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16079088
Minimum12601389
Maximum19578560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:42.779888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12601389
5-th percentile13028039
Q114401034
median16114739
Q317697128
95-th percentile19127840
Maximum19578560
Range6977171
Interquartile range (IQR)3296093.5

Descriptive statistics

Standard deviation1965820.5
Coefficient of variation (CV)0.12225945
Kurtosis-1.1919728
Mean16079088
Median Absolute Deviation (MAD)1673961
Skewness0.0099838581
Sum4.2123994 × 1011
Variance3.8644502 × 1012
MonotonicityIncreasing
2025-05-05T17:38:42.858809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13712235 310
 
1.2%
15828010 265
 
1.0%
14866114 251
 
1.0%
19127840 226
 
0.9%
16853140 223
 
0.9%
14964980 211
 
0.8%
16272743 210
 
0.8%
14010885 210
 
0.8%
16156200 185
 
0.7%
16270379 181
 
0.7%
Other values (13039) 23926
91.3%
ValueCountFrequency (%)
12601389 1
< 0.1%
12601989 1
< 0.1%
12602589 1
< 0.1%
12603189 1
< 0.1%
12603790 1
< 0.1%
12604388 1
< 0.1%
12604988 1
< 0.1%
12605588 1
< 0.1%
12606189 1
< 0.1%
12606790 1
< 0.1%
ValueCountFrequency (%)
19578560 1
< 0.1%
19577964 1
< 0.1%
19577360 1
< 0.1%
19576762 1
< 0.1%
19576162 1
< 0.1%
19575562 1
< 0.1%
19574962 1
< 0.1%
19574364 1
< 0.1%
19573762 1
< 0.1%
19573162 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct16384
Distinct (%)62.5%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1929219.6
Minimum1514870
Maximum2343355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:42.938234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1514870
5-th percentile1567909
Q11725837.2
median1930342
Q32118301
95-th percentile2306183.9
Maximum2343355
Range828485
Interquartile range (IQR)392463.75

Descriptive statistics

Standard deviation236373.97
Coefficient of variation (CV)0.1225231
Kurtosis-1.1534389
Mean1929219.6
Median Absolute Deviation (MAD)196732.5
Skewness0.0088522814
Sum5.0541696 × 1010
Variance5.5872654 × 1010
MonotonicityIncreasing
2025-05-05T17:38:43.013813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2082187 131
 
0.5%
1578278 103
 
0.4%
1700284 85
 
0.3%
1987032 84
 
0.3%
1988344 69
 
0.3%
2093045 60
 
0.2%
1615202 58
 
0.2%
2104345 53
 
0.2%
2325071 53
 
0.2%
2234883 50
 
0.2%
Other values (16374) 25452
97.1%
ValueCountFrequency (%)
1514870 4
< 0.1%
1514890 1
 
< 0.1%
1514921 2
< 0.1%
1514938 2
< 0.1%
1514956 2
< 0.1%
1514975 1
 
< 0.1%
1514996 1
 
< 0.1%
1515018 1
 
< 0.1%
1515041 1
 
< 0.1%
1515061 1
 
< 0.1%
ValueCountFrequency (%)
2343355 6
< 0.1%
2343343 3
< 0.1%
2343326 4
< 0.1%
2343309 5
< 0.1%
2343294 1
 
< 0.1%
2343280 2
 
< 0.1%
2343263 5
< 0.1%
2343250 2
 
< 0.1%
2343204 1
 
< 0.1%
2343186 1
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct260
Distinct (%)1.0%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean207603.27
Minimum172765
Maximum319143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:43.088460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum172765
5-th percentile172765
Q1175365
median204378
Q3237526
95-th percentile289973
Maximum319143
Range146378
Interquartile range (IQR)62161

Descriptive statistics

Standard deviation39446.203
Coefficient of variation (CV)0.19000762
Kurtosis0.36725017
Mean207603.27
Median Absolute Deviation (MAD)29013
Skewness1.1389076
Sum5.4387903 × 109
Variance1.5560029 × 109
MonotonicityIncreasing
2025-05-05T17:38:43.166024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204546 4899
18.7%
175365 4310
16.4%
181210 2979
11.4%
237526 2813
10.7%
175164 2046
7.8%
172765 1992
7.6%
269561 1885
 
7.2%
174590 1106
 
4.2%
236099 1043
 
4.0%
319143 770
 
2.9%
Other values (250) 2355
9.0%
ValueCountFrequency (%)
172765 1992
7.6%
173058 1
 
< 0.1%
173658 1
 
< 0.1%
174259 1
 
< 0.1%
174590 1106
 
4.2%
175164 2046
7.8%
175365 4310
16.4%
175866 1
 
< 0.1%
176466 1
 
< 0.1%
177066 1
 
< 0.1%
ValueCountFrequency (%)
319143 770
2.9%
318799 1
 
< 0.1%
318200 1
 
< 0.1%
317600 1
 
< 0.1%
317000 1
 
< 0.1%
316400 1
 
< 0.1%
315801 1
 
< 0.1%
315200 1
 
< 0.1%
314600 1
 
< 0.1%
314000 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25614
Distinct (%)97.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37448710
Minimum29711888
Maximum45060528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:43.245367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29711888
5-th percentile30497798
Q133626558
median37432084
Q341264170
95-th percentile44303791
Maximum45060528
Range15348640
Interquartile range (IQR)7637612

Descriptive statistics

Standard deviation4423606
Coefficient of variation (CV)0.11812439
Kurtosis-1.1947589
Mean37448710
Median Absolute Deviation (MAD)3818956
Skewness-0.018879778
Sum9.8108132 × 1011
Variance1.956829 × 1013
MonotonicityIncreasing
2025-05-05T17:38:43.326327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40408016 96
 
0.4%
37011696 78
 
0.3%
42981088 43
 
0.2%
40405048 38
 
0.1%
37408212 38
 
0.1%
44111712 35
 
0.1%
37012564 32
 
0.1%
42884560 30
 
0.1%
44598872 29
 
0.1%
42811980 23
 
0.1%
Other values (25604) 25756
98.3%
ValueCountFrequency (%)
29711888 1
< 0.1%
29712488 1
< 0.1%
29713088 1
< 0.1%
29713688 1
< 0.1%
29714288 1
< 0.1%
29714888 1
< 0.1%
29715488 1
< 0.1%
29716088 1
< 0.1%
29716688 1
< 0.1%
29717288 1
< 0.1%
ValueCountFrequency (%)
45060528 1
< 0.1%
45059932 1
< 0.1%
45059328 1
< 0.1%
45058728 1
< 0.1%
45058128 1
< 0.1%
45057528 1
< 0.1%
45056928 1
< 0.1%
45056332 1
< 0.1%
45055728 1
< 0.1%
45055128 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct19242
Distinct (%)73.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25269307
Minimum19856684
Maximum30494654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:43.408014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19856684
5-th percentile20519136
Q122524536
median25380536
Q327800832
95-th percentile29998723
Maximum30494654
Range10637970
Interquartile range (IQR)5276296

Descriptive statistics

Standard deviation3043471.8
Coefficient of variation (CV)0.12044144
Kurtosis-1.1933152
Mean25269307
Median Absolute Deviation (MAD)2610409
Skewness-0.087896307
Sum6.6200529 × 1011
Variance9.2627205 × 1012
MonotonicityIncreasing
2025-05-05T17:38:43.489052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20740136 139
 
0.5%
30170204 115
 
0.4%
26336122 112
 
0.4%
22141460 109
 
0.4%
26124956 102
 
0.4%
26161520 98
 
0.4%
20590020 98
 
0.4%
24883616 98
 
0.4%
27453530 96
 
0.4%
28137262 88
 
0.3%
Other values (19232) 25143
95.9%
ValueCountFrequency (%)
19856684 1
< 0.1%
19856764 1
< 0.1%
19857140 1
< 0.1%
19857740 1
< 0.1%
19858342 1
< 0.1%
19858940 1
< 0.1%
19859540 1
< 0.1%
19860140 1
< 0.1%
19860740 1
< 0.1%
19861342 1
< 0.1%
ValueCountFrequency (%)
30494654 1
< 0.1%
30494056 1
< 0.1%
30493454 1
< 0.1%
30492856 1
< 0.1%
30492256 1
< 0.1%
30491656 1
< 0.1%
30491056 1
< 0.1%
30490456 1
< 0.1%
30489856 1
< 0.1%
30489256 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2152
Distinct (%)8.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-511.69479
Minimum-4254
Maximum0
Zeros18774
Zeros (%)71.6%
Negative7424
Negative (%)28.3%
Memory size1.4 MiB
2025-05-05T17:38:43.566931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4254
5-th percentile-2497.15
Q1-309.75
median0
Q30
95-th percentile0
Maximum0
Range4254
Interquartile range (IQR)309.75

Descriptive statistics

Standard deviation938.37651
Coefficient of variation (CV)-1.8338598
Kurtosis0.26649093
Mean-511.69479
Median Absolute Deviation (MAD)0
Skewness-1.4486675
Sum-13405380
Variance880550.47
MonotonicityNot monotonic
2025-05-05T17:38:43.644727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18774
71.6%
-1 86
 
0.3%
-2405 23
 
0.1%
-2433 22
 
0.1%
-2421 22
 
0.1%
-2423 20
 
0.1%
-2426 19
 
0.1%
-2450 19
 
0.1%
-2460 19
 
0.1%
-2366 19
 
0.1%
Other values (2142) 7175
 
27.4%
ValueCountFrequency (%)
-4254 1
< 0.1%
-3367 1
< 0.1%
-3174 1
< 0.1%
-3161 1
< 0.1%
-3153 1
< 0.1%
-3143 1
< 0.1%
-3058 1
< 0.1%
-3053 1
< 0.1%
-3047 1
< 0.1%
-3041 1
< 0.1%
ValueCountFrequency (%)
0 18774
71.6%
-1 86
 
0.3%
-2 1
 
< 0.1%
-3 1
 
< 0.1%
-5 1
 
< 0.1%
-7 2
 
< 0.1%
-10 1
 
< 0.1%
-14 1
 
< 0.1%
-15 2
 
< 0.1%
-16 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct8972
Distinct (%)34.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean94276.437
Minimum-71
Maximum508385
Zeros16957
Zeros (%)64.7%
Negative3
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:38:43.719813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-71
5-th percentile0
Q10
median0
Q3160352.25
95-th percentile464169.8
Maximum508385
Range508456
Interquartile range (IQR)160352.25

Descriptive statistics

Standard deviation153491.31
Coefficient of variation (CV)1.6280984
Kurtosis0.70568758
Mean94276.437
Median Absolute Deviation (MAD)0
Skewness1.441211
Sum2.4698541 × 109
Variance2.3559583 × 1010
MonotonicityNot monotonic
2025-05-05T17:38:43.801859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16957
64.7%
1 42
 
0.2%
500071 9
 
< 0.1%
500064 7
 
< 0.1%
500076 7
 
< 0.1%
500048 7
 
< 0.1%
500052 6
 
< 0.1%
500063 6
 
< 0.1%
500072 5
 
< 0.1%
500070 5
 
< 0.1%
Other values (8962) 9147
34.9%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
-71 1
 
< 0.1%
-59 1
 
< 0.1%
-42 1
 
< 0.1%
0 16957
64.7%
1 42
 
0.2%
130 1
 
< 0.1%
250 1
 
< 0.1%
345 1
 
< 0.1%
445 1
 
< 0.1%
544 1
 
< 0.1%
ValueCountFrequency (%)
508385 1
< 0.1%
508348 1
< 0.1%
508092 1
< 0.1%
508059 1
< 0.1%
507394 1
< 0.1%
507382 1
< 0.1%
506689 1
< 0.1%
504687 1
< 0.1%
501998 1
< 0.1%
501233 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11962
Distinct (%)45.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16832.04
Minimum-1585
Maximum143386
Zeros13083
Zeros (%)49.9%
Negative298
Negative (%)1.1%
Memory size1.4 MiB
2025-05-05T17:38:43.875844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1585
5-th percentile0
Q10
median0
Q327638.75
95-th percentile74293.05
Maximum143386
Range144971
Interquartile range (IQR)27638.75

Descriptive statistics

Standard deviation25904.707
Coefficient of variation (CV)1.5390118
Kurtosis2.2508371
Mean16832.04
Median Absolute Deviation (MAD)1
Skewness1.6840837
Sum4.4096577 × 108
Variance6.7105386 × 108
MonotonicityNot monotonic
2025-05-05T17:38:43.956499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13083
49.9%
1 59
 
0.2%
-1 11
 
< 0.1%
286 5
 
< 0.1%
33055 5
 
< 0.1%
417 4
 
< 0.1%
42 4
 
< 0.1%
28897 4
 
< 0.1%
100 4
 
< 0.1%
94 4
 
< 0.1%
Other values (11952) 13015
49.7%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
-1585 1
< 0.1%
-1456 1
< 0.1%
-1383 1
< 0.1%
-1330 1
< 0.1%
-1321 1
< 0.1%
-1287 1
< 0.1%
-1257 1
< 0.1%
-1253 1
< 0.1%
-1229 1
< 0.1%
-1221 1
< 0.1%
ValueCountFrequency (%)
143386 1
< 0.1%
140521 1
< 0.1%
138700 1
< 0.1%
138368 1
< 0.1%
137134 1
< 0.1%
135194 1
< 0.1%
131916 1
< 0.1%
131753 1
< 0.1%
131636 1
< 0.1%
131240 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct20915
Distinct (%)79.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean110596.78
Minimum-4254
Maximum508385
Zeros106
Zeros (%)0.4%
Negative5429
Negative (%)20.7%
Memory size1.4 MiB
2025-05-05T17:38:44.177870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4254
5-th percentile-2504
Q14595.25
median42764
Q3161573
95-th percentile464169.8
Maximum508385
Range512639
Interquartile range (IQR)156977.75

Descriptive statistics

Standard deviation145881.26
Coefficient of variation (CV)1.3190371
Kurtosis0.78453489
Mean110596.78
Median Absolute Deviation (MAD)45048
Skewness1.4133681
Sum2.8974145 × 109
Variance2.1281342 × 1010
MonotonicityNot monotonic
2025-05-05T17:38:44.258137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
0.4%
-2433 23
 
0.1%
-2405 23
 
0.1%
-2421 22
 
0.1%
-2426 21
 
0.1%
-2413 20
 
0.1%
-2460 20
 
0.1%
-2410 20
 
0.1%
-2366 19
 
0.1%
-2450 19
 
0.1%
Other values (20905) 25905
98.8%
ValueCountFrequency (%)
-4254 1
< 0.1%
-3367 1
< 0.1%
-3174 1
< 0.1%
-3161 1
< 0.1%
-3153 1
< 0.1%
-3143 1
< 0.1%
-3058 1
< 0.1%
-3053 1
< 0.1%
-3051 1
< 0.1%
-3047 1
< 0.1%
ValueCountFrequency (%)
508385 1
< 0.1%
508348 1
< 0.1%
508092 1
< 0.1%
508059 1
< 0.1%
507394 1
< 0.1%
507382 1
< 0.1%
506689 1
< 0.1%
504687 1
< 0.1%
501998 1
< 0.1%
501233 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct3316
Distinct (%)12.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1176.3394
Minimum-1
Maximum8123
Zeros18788
Zeros (%)71.7%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:38:44.334603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q3515.75
95-th percentile5701
Maximum8123
Range8124
Interquartile range (IQR)515.75

Descriptive statistics

Standard deviation2191.571
Coefficient of variation (CV)1.8630431
Kurtosis0.49281265
Mean1176.3394
Median Absolute Deviation (MAD)0
Skewness1.4991529
Sum30817740
Variance4802983.6
MonotonicityNot monotonic
2025-05-05T17:38:44.414895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18788
71.7%
1 107
 
0.4%
5425 16
 
0.1%
5638 16
 
0.1%
5563 14
 
0.1%
5636 14
 
0.1%
5661 13
 
< 0.1%
5701 13
 
< 0.1%
5386 13
 
< 0.1%
5650 12
 
< 0.1%
Other values (3306) 7192
 
27.4%
ValueCountFrequency (%)
-1 1
 
< 0.1%
0 18788
71.7%
1 107
 
0.4%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
8123 1
< 0.1%
8044 1
< 0.1%
8023 1
< 0.1%
8012 1
< 0.1%
8008 1
< 0.1%
8005 1
< 0.1%
8003 1
< 0.1%
7998 1
< 0.1%
7994 1
< 0.1%
7993 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct181
Distinct (%)0.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.2632262
Minimum-13
Maximum291
Zeros19962
Zeros (%)76.2%
Negative265
Negative (%)1.0%
Memory size1.4 MiB
2025-05-05T17:38:44.493685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-13
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum291
Range304
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.198188
Coefficient of variation (CV)6.2734285
Kurtosis86.657806
Mean2.2632262
Median Absolute Deviation (MAD)0
Skewness8.6873249
Sum59292
Variance201.58853
MonotonicityNot monotonic
2025-05-05T17:38:44.570707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19962
76.2%
1 2538
 
9.7%
2 1331
 
5.1%
3 983
 
3.8%
4 320
 
1.2%
-1 170
 
0.6%
5 169
 
0.6%
6 48
 
0.2%
-2 35
 
0.1%
-3 24
 
0.1%
Other values (171) 618
 
2.4%
ValueCountFrequency (%)
-13 1
 
< 0.1%
-12 3
 
< 0.1%
-11 3
 
< 0.1%
-10 5
< 0.1%
-9 3
 
< 0.1%
-8 3
 
< 0.1%
-7 4
< 0.1%
-6 2
 
< 0.1%
-5 4
< 0.1%
-4 8
< 0.1%
ValueCountFrequency (%)
291 1
< 0.1%
259 1
< 0.1%
250 2
< 0.1%
249 1
< 0.1%
221 1
< 0.1%
198 1
< 0.1%
195 1
< 0.1%
194 1
< 0.1%
190 1
< 0.1%
183 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct896
Distinct (%)3.4%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.21036
Minimum-2
Maximum2680
Zeros23075
Zeros (%)88.0%
Negative5
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:38:44.648791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile288
Maximum2680
Range2682
Interquartile range (IQR)0

Descriptive statistics

Standard deviation153.90643
Coefficient of variation (CV)3.9251472
Kurtosis53.435995
Mean39.21036
Median Absolute Deviation (MAD)0
Skewness6.108765
Sum1027233
Variance23687.191
MonotonicityNot monotonic
2025-05-05T17:38:44.726375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23075
88.0%
1 203
 
0.8%
100 19
 
0.1%
91 18
 
0.1%
96 16
 
0.1%
141 15
 
0.1%
150 15
 
0.1%
101 15
 
0.1%
103 14
 
0.1%
95 14
 
0.1%
Other values (886) 2794
 
10.7%
ValueCountFrequency (%)
-2 1
 
< 0.1%
-1 4
 
< 0.1%
0 23075
88.0%
1 203
 
0.8%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
2680 1
< 0.1%
2555 1
< 0.1%
2545 1
< 0.1%
2528 1
< 0.1%
2510 1
< 0.1%
2467 1
< 0.1%
2400 1
< 0.1%
2360 1
< 0.1%
2350 1
< 0.1%
2287 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct3429
Distinct (%)13.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1217.813
Minimum-5
Maximum8123
Zeros12280
Zeros (%)46.9%
Negative213
Negative (%)0.8%
Memory size1.4 MiB
2025-05-05T17:38:44.803571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile0
Q10
median1
Q3747.75
95-th percentile5702
Maximum8123
Range8128
Interquartile range (IQR)747.75

Descriptive statistics

Standard deviation2212.0848
Coefficient of variation (CV)1.8164405
Kurtosis0.32538163
Mean1217.813
Median Absolute Deviation (MAD)1
Skewness1.4443533
Sum31904265
Variance4893319.3
MonotonicityNot monotonic
2025-05-05T17:38:44.885569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12280
46.9%
1 2695
 
10.3%
2 1332
 
5.1%
3 977
 
3.7%
4 317
 
1.2%
5 164
 
0.6%
-1 163
 
0.6%
6 40
 
0.2%
-2 32
 
0.1%
7 17
 
0.1%
Other values (3419) 8181
31.2%
ValueCountFrequency (%)
-5 1
 
< 0.1%
-4 2
 
< 0.1%
-3 15
 
0.1%
-2 32
 
0.1%
-1 163
 
0.6%
0 12280
46.9%
1 2695
 
10.3%
2 1332
 
5.1%
3 977
 
3.7%
4 317
 
1.2%
ValueCountFrequency (%)
8123 1
< 0.1%
8044 1
< 0.1%
8023 1
< 0.1%
8012 1
< 0.1%
8008 1
< 0.1%
8005 1
< 0.1%
8003 1
< 0.1%
7998 1
< 0.1%
7994 1
< 0.1%
7993 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct6354
Distinct (%)24.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-34807.969
Minimum-41694
Maximum-28273
Zeros0
Zeros (%)0.0%
Negative26198
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-05T17:38:44.963333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-41694
5-th percentile-41013
Q1-38610.25
median-34605
Q3-31713
95-th percentile-28481.7
Maximum-28273
Range13421
Interquartile range (IQR)6897.25

Descriptive statistics

Standard deviation4000.482
Coefficient of variation (CV)-0.11493006
Kurtosis-1.1970339
Mean-34807.969
Median Absolute Deviation (MAD)3199
Skewness-0.15835991
Sum-9.1189917 × 108
Variance16003856
MonotonicityDecreasing
2025-05-05T17:38:45.045829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-30583 605
 
2.3%
-32129 542
 
2.1%
-34741 428
 
1.6%
-41013 393
 
1.5%
-36344 383
 
1.5%
-40780 380
 
1.4%
-36847 369
 
1.4%
-40835 366
 
1.4%
-31406 324
 
1.2%
-31885 316
 
1.2%
Other values (6344) 22092
84.3%
ValueCountFrequency (%)
-41694 63
0.2%
-41693 8
 
< 0.1%
-41692 7
 
< 0.1%
-41690 1
 
< 0.1%
-41687 1
 
< 0.1%
-41685 1
 
< 0.1%
-41684 135
0.5%
-41683 3
 
< 0.1%
-41682 17
 
0.1%
-41681 1
 
< 0.1%
ValueCountFrequency (%)
-28273 29
0.1%
-28274 61
0.2%
-28275 2
 
< 0.1%
-28277 1
 
< 0.1%
-28279 1
 
< 0.1%
-28282 1
 
< 0.1%
-28284 1
 
< 0.1%
-28287 1
 
< 0.1%
-28289 1
 
< 0.1%
-28291 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct9194
Distinct (%)35.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6297894
Minimum4957522
Maximum7427375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:45.126062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4957522
5-th percentile5095581
Q15554092
median6357705
Q36978404
95-th percentile7380722.2
Maximum7427375
Range2469853
Interquartile range (IQR)1424312

Descriptive statistics

Standard deviation766517.96
Coefficient of variation (CV)0.1217102
Kurtosis-1.3058752
Mean6297894
Median Absolute Deviation (MAD)673131
Skewness-0.2624925
Sum1.6499223 × 1011
Variance5.8754978 × 1011
MonotonicityIncreasing
2025-05-05T17:38:45.208611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6626712 725
 
2.8%
5386929 647
 
2.5%
6793627 526
 
2.0%
6261793 492
 
1.9%
7408526 491
 
1.9%
7029947 475
 
1.8%
5131317 427
 
1.6%
6978404 405
 
1.5%
6915137 399
 
1.5%
6686035 374
 
1.4%
Other values (9184) 21237
81.0%
ValueCountFrequency (%)
4957522 113
0.4%
4957663 1
 
< 0.1%
4957901 1
 
< 0.1%
4958133 1
 
< 0.1%
4958387 1
 
< 0.1%
4958596 1
 
< 0.1%
4958804 1
 
< 0.1%
4959060 1
 
< 0.1%
4959249 1
 
< 0.1%
4959458 1
 
< 0.1%
ValueCountFrequency (%)
7427375 97
0.4%
7427332 1
 
< 0.1%
7427244 1
 
< 0.1%
7427122 1
 
< 0.1%
7426996 1
 
< 0.1%
7426871 1
 
< 0.1%
7426743 1
 
< 0.1%
7426626 1
 
< 0.1%
7426514 1
 
< 0.1%
7426382 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct12491
Distinct (%)47.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1020010.5
Minimum797737
Maximum1238790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:45.288360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum797737
5-th percentile829536
Q1914582.75
median1028497.5
Q31118130
95-th percentile1210097
Maximum1238790
Range441053
Interquartile range (IQR)203547.25

Descriptive statistics

Standard deviation121682.17
Coefficient of variation (CV)0.11929501
Kurtosis-1.1526442
Mean1020010.5
Median Absolute Deviation (MAD)99155
Skewness-0.057741621
Sum2.6722236 × 1010
Variance1.480655 × 1010
MonotonicityNot monotonic
2025-05-05T17:38:45.367242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
870126 310
 
1.2%
1009489 265
 
1.0%
950559 251
 
1.0%
1210097 226
 
0.9%
1070076 223
 
0.9%
956903 211
 
0.8%
1039227 210
 
0.8%
886260 210
 
0.8%
1031765 185
 
0.7%
1038889 181
 
0.7%
Other values (12481) 23926
91.3%
ValueCountFrequency (%)
797737 1
< 0.1%
797745 1
< 0.1%
797764 1
< 0.1%
797794 1
< 0.1%
797817 1
< 0.1%
797834 1
< 0.1%
797854 1
< 0.1%
797878 1
< 0.1%
797909 1
< 0.1%
797943 1
< 0.1%
ValueCountFrequency (%)
1238790 1
< 0.1%
1238763 1
< 0.1%
1238734 1
< 0.1%
1238695 1
< 0.1%
1238652 1
< 0.1%
1238600 1
< 0.1%
1238539 1
< 0.1%
1238473 1
< 0.1%
1238407 1
< 0.1%
1238347 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct24363
Distinct (%)93.0%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7283096.8
Minimum5726986
Maximum8624471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:45.581498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5726986
5-th percentile5896666.7
Q16436962.8
median7351597.5
Q38057926.5
95-th percentile8549806.2
Maximum8624471
Range2897485
Interquartile range (IQR)1620963.8

Descriptive statistics

Standard deviation883531.4
Coefficient of variation (CV)0.1213126
Kurtosis-1.2899742
Mean7283096.8
Median Absolute Deviation (MAD)774989
Skewness-0.23838677
Sum1.9080257 × 1011
Variance7.8062774 × 1011
MonotonicityNot monotonic
2025-05-05T17:38:45.659621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7973422 106
 
0.4%
7973421 11
 
< 0.1%
7973420 11
 
< 0.1%
7973434 10
 
< 0.1%
7124268 7
 
< 0.1%
8198554 5
 
< 0.1%
5956630 5
 
< 0.1%
5950436 5
 
< 0.1%
8597051 5
 
< 0.1%
5950441 5
 
< 0.1%
Other values (24353) 26028
99.3%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
5726986 1
< 0.1%
5726994 1
< 0.1%
5727013 1
< 0.1%
5727043 1
< 0.1%
5727066 1
< 0.1%
5727083 1
< 0.1%
5727103 1
< 0.1%
5727128 1
< 0.1%
5727158 1
< 0.1%
5727193 1
< 0.1%
ValueCountFrequency (%)
8624471 1
< 0.1%
8624444 1
< 0.1%
8624415 1
< 0.1%
8624376 1
< 0.1%
8624333 1
< 0.1%
8624281 1
< 0.1%
8624220 1
< 0.1%
8624154 1
< 0.1%
8624088 1
< 0.1%
8624028 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct6635
Distinct (%)25.3%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean80001.596
Minimum65179
Maximum96032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:45.738386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum65179
5-th percentile65643.1
Q173034.25
median79497
Q388571.75
95-th percentile94419
Maximum96032
Range30853
Interquartile range (IQR)15537.5

Descriptive statistics

Standard deviation9085.1747
Coefficient of variation (CV)0.11356242
Kurtosis-1.1563742
Mean80001.596
Median Absolute Deviation (MAD)7195
Skewness0.18455453
Sum2.0958818 × 109
Variance82540399
MonotonicityIncreasing
2025-05-05T17:38:45.818339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70488 799
 
3.0%
73981 529
 
2.0%
79795 428
 
1.6%
94419 393
 
1.5%
83207 383
 
1.5%
93781 382
 
1.5%
84265 369
 
1.4%
72362 323
 
1.2%
73419 312
 
1.2%
79673 256
 
1.0%
Other values (6625) 22024
84.0%
ValueCountFrequency (%)
65179 29
0.1%
65180 1
 
< 0.1%
65181 60
0.2%
65182 2
 
< 0.1%
65186 1
 
< 0.1%
65191 1
 
< 0.1%
65197 1
 
< 0.1%
65202 1
 
< 0.1%
65208 1
 
< 0.1%
65213 1
 
< 0.1%
ValueCountFrequency (%)
96032 63
0.2%
96031 10
 
< 0.1%
96030 5
 
< 0.1%
96028 1
 
< 0.1%
96023 1
 
< 0.1%
96019 1
 
< 0.1%
96018 133
0.5%
96017 3
 
< 0.1%
96016 2
 
< 0.1%
96015 18
 
0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct59
Distinct (%)0.2%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean152.01237
Minimum122
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:45.895135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile126
Q1137
median154
Q3166
95-th percentile177
Maximum180
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation16.942499
Coefficient of variation (CV)0.11145474
Kurtosis-1.141928
Mean152.01237
Median Absolute Deviation (MAD)14
Skewness-0.17710535
Sum3982420
Variance287.04829
MonotonicityIncreasing
2025-05-05T17:38:45.974556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127 1470
 
5.6%
126 1096
 
4.2%
151 1046
 
4.0%
180 1044
 
4.0%
130 1007
 
3.8%
135 924
 
3.5%
159 923
 
3.5%
169 886
 
3.4%
150 798
 
3.0%
157 789
 
3.0%
Other values (49) 16215
61.9%
ValueCountFrequency (%)
122 262
 
1.0%
123 385
 
1.5%
124 87
 
0.3%
125 389
 
1.5%
126 1096
4.2%
127 1470
5.6%
128 119
 
0.5%
129 195
 
0.7%
130 1007
3.8%
131 94
 
0.4%
ValueCountFrequency (%)
180 1044
4.0%
179 100
 
0.4%
178 103
 
0.4%
177 503
1.9%
176 435
1.7%
175 182
 
0.7%
174 447
1.7%
173 609
2.3%
172 97
 
0.4%
171 124
 
0.5%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct980
Distinct (%)3.7%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2442.1606
Minimum1960
Maximum2987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:46.056940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1960
5-th percentile1987
Q12203
median2431
Q32693
95-th percentile2927
Maximum2987
Range1027
Interquartile range (IQR)490

Descriptive statistics

Standard deviation303.51831
Coefficient of variation (CV)0.1242827
Kurtosis-1.1562573
Mean2442.1606
Median Absolute Deviation (MAD)239
Skewness0.20173992
Sum63979723
Variance92123.363
MonotonicityIncreasing
2025-05-05T17:38:46.136788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2239 528
 
2.0%
2449 423
 
1.6%
2106 375
 
1.4%
2595 301
 
1.1%
2382 300
 
1.1%
2857 277
 
1.1%
2893 271
 
1.0%
2528 270
 
1.0%
2272 262
 
1.0%
2862 256
 
1.0%
Other values (970) 22935
87.5%
ValueCountFrequency (%)
1960 83
0.3%
1961 9
 
< 0.1%
1962 6
 
< 0.1%
1963 134
0.5%
1964 3
 
< 0.1%
1965 33
 
0.1%
1966 72
0.3%
1967 22
 
0.1%
1968 1
 
< 0.1%
1969 6
 
< 0.1%
ValueCountFrequency (%)
2987 47
 
0.2%
2986 30
 
0.1%
2985 1
 
< 0.1%
2984 138
0.5%
2983 3
 
< 0.1%
2982 18
 
0.1%
2981 112
0.4%
2980 2
 
< 0.1%
2979 2
 
< 0.1%
2978 2
 
< 0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct6962
Distinct (%)26.6%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean82596.759
Minimum67261
Maximum99200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:46.213862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67261
5-th percentile67756.25
Q175376
median82083
Q391431.75
95-th percentile97524
Maximum99200
Range31939
Interquartile range (IQR)16055.75

Descriptive statistics

Standard deviation9404.865
Coefficient of variation (CV)0.11386482
Kurtosis-1.1566595
Mean82596.759
Median Absolute Deviation (MAD)7448
Skewness0.18453709
Sum2.1638699 × 109
Variance88451485
MonotonicityIncreasing
2025-05-05T17:38:46.292179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72725 330
 
1.3%
82400 315
 
1.2%
76364 314
 
1.2%
85895 241
 
0.9%
97524 240
 
0.9%
68645 221
 
0.8%
74675 221
 
0.8%
76892 212
 
0.8%
96782 206
 
0.8%
82109 201
 
0.8%
Other values (6952) 23697
90.4%
ValueCountFrequency (%)
67261 29
0.1%
67263 1
 
< 0.1%
67264 59
0.2%
67265 2
 
< 0.1%
67266 1
 
< 0.1%
67271 1
 
< 0.1%
67276 1
 
< 0.1%
67282 1
 
< 0.1%
67287 1
 
< 0.1%
67293 1
 
< 0.1%
ValueCountFrequency (%)
99200 47
 
0.2%
99199 19
 
0.1%
99198 7
 
< 0.1%
99197 5
 
< 0.1%
99193 1
 
< 0.1%
99189 1
 
< 0.1%
99184 1
 
< 0.1%
99183 133
0.5%
99182 2
 
< 0.1%
99181 1
 
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct14
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.6300863
Minimum0
Maximum911
Zeros25526
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:38:46.353839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum911
Range911
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.097954
Coefficient of variation (CV)6.944468
Kurtosis110.39979
Mean5.6300863
Median Absolute Deviation (MAD)0
Skewness9.2524479
Sum147497
Variance1528.65
MonotonicityNot monotonic
2025-05-05T17:38:46.404718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 25526
97.4%
144 278
 
1.1%
220 241
 
0.9%
546 53
 
0.2%
222 38
 
0.1%
224 35
 
0.1%
276 15
 
0.1%
338 3
 
< 0.1%
309 2
 
< 0.1%
356 2
 
< 0.1%
Other values (4) 5
 
< 0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
0 25526
97.4%
127 1
 
< 0.1%
144 278
 
1.1%
182 1
 
< 0.1%
220 241
 
0.9%
222 38
 
0.1%
224 35
 
0.1%
276 15
 
0.1%
309 2
 
< 0.1%
338 3
 
< 0.1%
ValueCountFrequency (%)
911 2
 
< 0.1%
616 1
 
< 0.1%
546 53
 
0.2%
356 2
 
< 0.1%
338 3
 
< 0.1%
309 2
 
< 0.1%
276 15
 
0.1%
224 35
 
0.1%
222 38
 
0.1%
220 241
0.9%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.8126956
Minimum-28
Maximum260
Zeros25859
Zeros (%)98.7%
Negative3
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:38:46.453059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum260
Range288
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.054258
Coefficient of variation (CV)9.2630919
Kurtosis86.862131
Mean2.8126956
Median Absolute Deviation (MAD)0
Skewness9.3936163
Sum73687
Variance678.82437
MonotonicityNot monotonic
2025-05-05T17:38:46.500470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 25859
98.7%
251 211
 
0.8%
57 52
 
0.2%
256 36
 
0.1%
260 16
 
0.1%
257 15
 
0.1%
-28 3
 
< 0.1%
81 2
 
< 0.1%
196 1
 
< 0.1%
199 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
-28 3
 
< 0.1%
0 25859
98.7%
2 1
 
< 0.1%
56 1
 
< 0.1%
57 52
 
0.2%
81 2
 
< 0.1%
196 1
 
< 0.1%
199 1
 
< 0.1%
251 211
 
0.8%
256 36
 
0.1%
ValueCountFrequency (%)
260 16
 
0.1%
257 15
 
0.1%
256 36
 
0.1%
251 211
0.8%
199 1
 
< 0.1%
196 1
 
< 0.1%
81 2
 
< 0.1%
57 52
 
0.2%
56 1
 
< 0.1%
2 1
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Categorical

High correlation  Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26191 
1.0
 
4
458.0
 
1
-1133.0
 
1
483.0
 
1

Length

Max length7
Median length3
Mean length3.0003054
Min length3

Characters and Unicode

Total characters78602
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26191
99.9%
1.0 4
 
< 0.1%
458.0 1
 
< 0.1%
-1133.0 1
 
< 0.1%
483.0 1
 
< 0.1%
(Missing) 10
 
< 0.1%

Length

2025-05-05T17:38:46.563880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:38:46.611196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26191
> 99.9%
1.0 4
 
< 0.1%
458.0 1
 
< 0.1%
1133.0 1
 
< 0.1%
483.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52389
66.7%
. 26198
33.3%
1 6
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78602
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52389
66.7%
. 26198
33.3%
1 6
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78602
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52389
66.7%
. 26198
33.3%
1 6
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78602
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52389
66.7%
. 26198
33.3%
1 6
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26198 
True
 
10
ValueCountFrequency (%)
False 26198
> 99.9%
True 10
 
< 0.1%
2025-05-05T17:38:46.644574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:38:46.791105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.0730.181-0.774-0.183-0.0800.0520.0580.0420.046-1.000-0.177-0.005-0.032-0.0030.057-0.730-0.726-0.737-0.110-0.554-0.310-0.0370.0060.0190.0480.0470.0470.0760.048-0.101-1.000-1.000-0.063-0.131-0.3860.0010.0030.0100.0710.0720.057-0.005-0.599-0.431-0.0870.0590.1020.1000.0990.1060.0630.0640.0720.0430.0660.0960.0630.059-0.0290.031-0.0390.0090.1210.2140.159-0.094-0.100-0.105-1.000-1.000-0.273-0.333-0.307-0.319-0.0840.0890.052-0.0060.0970.0410.093-0.0890.1060.0440.025-0.064-0.6430.1810.1810.0380.0710.001-0.0300.069-0.0230.0720.005-1.000-1.000-1.0000.0690.0710.057-0.013-1.000-0.992-0.724-0.084-1.000-1.000-1.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.0730.1770.7730.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7290.7250.7370.1120.5540.3100.0370.018-0.019-0.047-0.046-0.047-0.076-0.0470.1021.0001.0000.0640.1320.386-0.000-0.002-0.009-0.071-0.072-0.0570.0040.5980.4320.088-0.058-0.102-0.100-0.0990.104-0.063-0.064-0.072-0.043-0.065-0.096-0.063-0.0590.029-0.0310.038-0.010-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3080.3210.083-0.089-0.0520.007-0.097-0.041-0.0930.089-0.105-0.043-0.0240.0640.6430.1770.177-0.038-0.071-0.0000.029-0.0690.023-0.072-0.0061.0001.0001.000-0.068-0.071-0.0570.0131.0000.9920.7230.0841.0001.0001.0001.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.0730.1850.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0360.012-0.019-0.048-0.047-0.047-0.076-0.0470.1021.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.109-0.063-0.064-0.072-0.043-0.066-0.096-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3330.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1850.185-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0831.0001.0001.0001.0001.0001.0001.000
Active power limit [W]0.073-0.073-0.0731.0000.9780.019-0.0090.0190.0800.062-0.0250.029-0.0730.106-0.160-0.206-0.0810.1320.0220.0360.0420.1970.0690.141-0.2310.0000.2060.2070.2060.2060.2060.2060.253-0.073-0.0730.2000.1990.1600.1970.1980.1990.1880.1810.0800.1280.0700.1310.1640.2240.1370.1420.1470.5540.0620.0640.0340.1280.0740.1730.0260.182-0.150-0.079-0.164-0.0010.0660.0620.0590.1610.1670.168-0.073-0.0730.0590.1210.1220.128-0.4890.6290.0880.1140.6120.5280.650-0.3870.6250.1620.0960.1110.0630.9780.9780.1240.0860.105-0.1560.0560.0360.151-0.117-0.073-0.072-0.0730.1890.1810.0800.099-0.073-0.0690.017-0.488-0.073-0.073-0.073-0.073-0.073-0.0731.000
Active power limit source0.1810.1770.1850.9781.0000.4790.0730.0220.1340.1680.9770.0830.1870.3110.0290.9770.9770.0300.9810.9810.9810.9810.9810.9810.0000.0000.9810.9810.9810.9810.9820.9810.9820.1580.1890.9810.9810.9810.9810.9810.9810.1780.1910.9770.0300.9810.9810.9810.3760.0560.0560.0570.9820.0560.0770.0470.0390.1380.9810.4960.0340.0290.0400.0520.0150.9860.9860.9860.9810.9810.9810.1860.1860.9810.9810.9810.9810.0000.4170.0440.0600.5590.9920.3890.0750.4990.1000.0980.9820.9810.9950.9950.0310.0420.0450.0290.0000.0000.0600.0300.2260.1670.2180.1760.1910.9770.0270.1860.6020.9810.0000.1670.1900.2220.1850.1600.1791.000
Ambient Temp. Avg. [°C]-0.7740.7730.7740.0190.4791.0000.0620.091-0.178-0.178-0.194-0.1440.7740.0950.1160.1260.122-0.0680.9010.9150.8290.0340.6260.320-0.0140.000-0.117-0.148-0.152-0.149-0.176-0.1510.0890.7730.774-0.0250.0410.358-0.089-0.091-0.102-0.181-0.173-0.195-0.0400.7030.4270.050-0.152-0.206-0.206-0.2090.282-0.187-0.183-0.186-0.144-0.208-0.202-0.193-0.1570.1430.0450.1160.049-0.127-0.188-0.1320.0520.0640.0650.7740.7740.2310.2750.2550.2700.0630.008-0.1430.018-0.0300.102-0.0180.106-0.062-0.158-0.0820.0660.7620.4790.479-0.170-0.151-0.0110.149-0.1220.069-0.1920.0860.7740.7730.774-0.178-0.172-0.195-0.0270.7740.7720.9220.0640.7740.7740.7740.7740.7740.7741.000
Ambient WindDir Absolute Avg. [°]-0.1830.1830.183-0.0090.0730.0621.000-0.0220.0330.0050.051-0.0220.1830.829-0.087-0.049-0.116-0.0100.1540.1300.0400.0550.0410.047-0.0790.0150.0530.0470.0470.0550.0470.0500.0590.1830.1830.0370.0640.0880.0370.0370.0360.0520.0210.104-0.029-0.0010.0490.0380.0830.0240.0270.0300.0440.008-0.0110.030-0.0060.0510.0140.074-0.009-0.109-0.132-0.004-0.1170.016-0.0080.0100.0360.0380.0370.1830.1830.0150.0300.0220.029-0.0550.012-0.0040.078-0.048-0.0710.0230.010-0.0310.077-0.0100.0020.0510.0730.0730.109-0.0140.070-0.106-0.027-0.0390.040-0.1260.1820.1840.1830.0540.0220.104-0.0350.1830.1650.118-0.0540.1830.1830.1830.1830.1830.1831.000
Ambient WindDir Relative Avg. [°]-0.0800.0800.0800.0190.0220.091-0.0221.000-0.039-0.022-0.0690.0130.080-0.0020.002-0.0160.0240.0280.0910.0880.065-0.0030.0430.016-0.0050.022-0.028-0.029-0.030-0.032-0.035-0.0310.0110.0800.080-0.008-0.0010.026-0.019-0.019-0.020-0.036-0.019-0.0620.0720.0700.030-0.017-0.030-0.042-0.042-0.0430.008-0.038-0.020-0.0770.025-0.041-0.023-0.0770.0140.0350.048-0.0360.039-0.009-0.019-0.016-0.014-0.012-0.0120.0800.080-0.0050.0080.0060.0070.001-0.008-0.0400.028-0.0120.0040.0000.019-0.003-0.0250.1150.0080.0570.0220.022-0.028-0.0490.0350.027-0.0200.053-0.0400.0200.0800.0810.080-0.037-0.019-0.0610.0730.0800.0830.0820.0010.0800.0800.0800.0800.0800.0801.000
Ambient WindSpeed Avg. [m/s]0.052-0.052-0.0520.0800.134-0.1780.033-0.0391.0000.9740.9200.812-0.0520.060-0.511-0.578-0.4010.314-0.167-0.3230.1830.7850.4370.7010.1830.0290.9170.9090.9220.9120.8990.9160.569-0.052-0.0520.8600.8370.6690.8960.8950.8960.9270.9070.8410.2650.2520.6020.8370.7120.9320.9340.9360.0780.9930.9720.8850.8030.9120.9160.8030.792-0.654-0.286-0.602-0.1260.2200.2120.2990.8580.8450.849-0.052-0.0520.5050.6940.6920.6870.070-0.0180.792-0.2320.1220.108-0.024-0.0730.0960.8150.215-0.0580.2890.1340.1340.6790.816-0.109-0.6780.561-0.2610.929-0.387-0.052-0.053-0.0520.9230.9070.8420.222-0.052-0.054-0.3080.069-0.052-0.052-0.052-0.052-0.052-0.0521.000
Ambient WindSpeed Max. [m/s]0.058-0.058-0.0580.0620.168-0.1780.005-0.0220.9741.0000.8520.897-0.0580.027-0.466-0.581-0.3280.371-0.154-0.3130.1820.7720.4360.6910.1820.0360.8960.8910.9030.8910.8790.8960.547-0.058-0.0580.8470.8240.6590.8810.8800.8810.9070.9140.7810.3180.2520.6030.8210.6710.9210.9210.9210.0980.9770.9820.8280.8400.8920.9200.7450.824-0.601-0.214-0.629-0.0660.2200.2190.3090.8430.8300.834-0.058-0.0580.5180.6970.6980.6930.091-0.0370.788-0.2580.0980.106-0.043-0.0450.0710.7810.286-0.0650.2960.1680.1680.6330.814-0.125-0.6330.571-0.2120.909-0.331-0.058-0.058-0.0580.9000.9130.7830.276-0.058-0.058-0.2940.089-0.058-0.058-0.058-0.058-0.058-0.0581.000
Ambient WindSpeed Min. [m/s]0.042-0.042-0.042-0.0250.977-0.1940.051-0.0690.9200.8521.0000.598-0.0420.040-0.495-0.470-0.4940.142-0.204-0.3400.1440.7050.3770.6250.1760.0000.8340.8220.8380.8290.8170.8300.508-0.042-0.0420.7720.7470.5940.8080.8070.8070.8460.7880.8830.1030.2140.5230.7580.6610.8460.8500.8541.0000.9070.8530.9100.6390.8710.8020.8680.632-0.670-0.378-0.455-0.2310.1850.1690.2430.7760.7630.768-0.042-0.0420.4280.6090.6050.6020.046-0.0840.722-0.2240.027-0.099-0.083-0.0990.0140.7530.064-0.0780.2320.9770.9770.6660.747-0.130-0.6650.491-0.3540.855-0.428-0.042-0.043-0.0420.8440.7900.8820.071-0.042-0.045-0.3300.044-0.042-0.042-0.042-0.042-0.042-0.0421.000
Ambient WindSpeed StdDev [m/s]0.046-0.046-0.0460.0290.083-0.144-0.0220.0130.8120.8970.5981.000-0.046-0.005-0.273-0.484-0.0740.506-0.099-0.2470.1800.6660.4030.6040.1710.0430.7510.7540.7580.7480.7360.7540.474-0.046-0.0460.7290.7130.5750.7500.7500.7510.7590.8270.5560.4260.2520.5510.6970.4750.7790.7760.7730.0480.8300.8860.6050.8200.7450.8210.5230.801-0.399-0.004-0.6300.1170.1870.1980.2810.7170.7060.710-0.046-0.0460.4980.6430.6470.6410.114-0.0610.692-0.2980.0650.103-0.066-0.0080.0420.5960.410-0.0710.2960.0830.0830.4410.727-0.164-0.4410.536-0.0560.761-0.145-0.046-0.047-0.0460.7500.8240.5610.385-0.046-0.045-0.2170.113-0.046-0.046-0.046-0.046-0.046-0.0461.000
Ambient ok hours [h]-1.0001.0001.000-0.0730.1870.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.109-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1870.187-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Avg. direction [°]-0.1770.1770.1770.1060.3110.0950.829-0.0020.0600.0270.040-0.0050.1771.000-0.097-0.074-0.1000.0000.1750.1530.0670.0860.0630.069-0.0790.0070.0870.0790.0800.0880.0800.0830.0980.1770.1770.0680.0960.1150.0680.0670.0670.0820.0480.094-0.0190.0220.0740.0660.1160.0540.0580.0610.1770.0340.0140.0530.0120.0460.0450.0660.017-0.107-0.116-0.019-0.1050.0370.0100.0260.0640.0640.0660.1770.1770.0340.0580.0510.059-0.0820.1050.0170.0820.0730.1120.118-0.0120.0870.101-0.0110.0250.0760.3110.3110.1080.0080.074-0.106-0.014-0.0420.063-0.1180.1760.1770.1770.0840.0500.094-0.0270.1770.1570.139-0.0820.1770.1770.1770.1770.1770.1771.000
Blades PitchAngle Avg. [°]-0.0050.0050.005-0.1600.0290.116-0.0870.002-0.511-0.466-0.495-0.2730.005-0.0971.0000.8830.9190.0510.0810.1760.053-0.415-0.073-0.3060.1890.195-0.571-0.555-0.579-0.568-0.563-0.569-0.2090.0050.005-0.472-0.461-0.299-0.509-0.508-0.509-0.594-0.533-0.579-0.3560.120-0.217-0.464-0.739-0.554-0.562-0.5680.011-0.507-0.474-0.431-0.600-0.575-0.548-0.505-0.6160.7330.5670.4460.428-0.118-0.108-0.157-0.459-0.451-0.4480.0050.005-0.069-0.201-0.200-0.1930.266-0.235-0.336-0.285-0.154-0.037-0.2590.160-0.181-0.742-0.144-0.0920.0210.0290.029-0.746-0.228-0.3820.750-0.1210.199-0.5850.6910.0050.0050.005-0.600-0.535-0.579-0.3370.0050.0040.2290.2660.0050.0050.0050.0050.0050.0051.000
Blades PitchAngle Max. [°]-0.0320.0320.032-0.2060.9770.126-0.049-0.016-0.578-0.581-0.470-0.4840.032-0.0740.8831.0000.734-0.2230.0790.1900.013-0.519-0.141-0.3840.1900.000-0.641-0.626-0.652-0.636-0.628-0.639-0.2970.0320.032-0.550-0.540-0.365-0.587-0.586-0.588-0.671-0.655-0.552-0.4350.064-0.289-0.564-0.768-0.638-0.643-0.6471.000-0.581-0.594-0.409-0.759-0.634-0.668-0.459-0.7780.7100.5050.5340.355-0.136-0.130-0.185-0.533-0.524-0.5210.0320.032-0.161-0.289-0.291-0.2830.265-0.269-0.381-0.275-0.198-0.117-0.2900.159-0.221-0.786-0.311-0.072-0.0410.9770.977-0.749-0.307-0.3990.756-0.2140.117-0.6560.6350.0320.0310.032-0.665-0.655-0.555-0.4040.0320.0270.2350.2650.0320.0320.0320.0320.0320.0321.000
Blades PitchAngle Min. [°]-0.0030.0020.002-0.0810.9770.122-0.1160.024-0.401-0.328-0.494-0.0740.002-0.1000.9190.7341.0000.2280.1010.1710.087-0.324-0.009-0.2170.1890.000-0.456-0.437-0.463-0.455-0.451-0.452-0.1550.0020.002-0.357-0.348-0.210-0.395-0.394-0.395-0.478-0.370-0.571-0.1230.167-0.127-0.372-0.705-0.442-0.450-0.4581.000-0.394-0.328-0.426-0.406-0.490-0.401-0.550-0.4190.7690.6920.2650.592-0.070-0.055-0.089-0.353-0.346-0.3410.0020.0020.018-0.098-0.093-0.0890.264-0.175-0.210-0.349-0.0740.099-0.2050.155-0.109-0.659-0.013-0.0670.0720.9770.977-0.733-0.112-0.3890.735-0.0140.326-0.4780.7580.0020.0020.002-0.484-0.374-0.569-0.1140.0020.0030.2270.2640.0020.0020.0030.0020.0020.0021.000
Blades PitchAngle StdDev [°]0.057-0.057-0.0570.1320.030-0.068-0.0100.0280.3140.3710.1420.506-0.0570.0000.051-0.2230.2281.000-0.034-0.1000.1030.4010.2250.325-0.1080.3130.3740.3930.3650.3800.3830.3690.402-0.057-0.0570.3810.3930.3040.3850.3850.3840.3780.4860.2280.2750.1250.2850.3660.2260.3100.3210.3310.0000.3240.4150.0080.4380.3540.4570.0250.460-0.226-0.043-0.5500.2000.0500.0530.0860.3440.3540.340-0.057-0.0570.2240.3090.3020.306-0.1250.1390.2340.1520.0970.0850.150-0.0610.1150.2120.475-0.0390.1800.0300.0300.2770.3170.124-0.2940.2880.4660.368-0.100-0.057-0.057-0.0570.3690.4820.2330.226-0.057-0.053-0.102-0.123-0.057-0.057-0.057-0.057-0.057-0.0571.000
Controller Ground Temp. Avg. [°C]-0.7300.7290.7300.0220.9810.9010.1540.091-0.167-0.154-0.204-0.0990.7300.1750.0810.0790.101-0.0341.0000.9190.7450.0080.5560.278-0.0250.000-0.114-0.143-0.144-0.143-0.170-0.1470.0700.7290.730-0.0480.0190.312-0.097-0.100-0.111-0.165-0.150-0.1920.0010.6050.3880.034-0.125-0.189-0.191-0.1930.577-0.176-0.165-0.197-0.107-0.195-0.180-0.200-0.1190.1190.0340.0840.037-0.136-0.171-0.1220.0340.0460.0450.7300.7300.1820.2380.2230.2390.0500.017-0.1460.051-0.0200.102-0.0060.094-0.049-0.133-0.0250.0650.6910.9810.981-0.142-0.1600.0260.123-0.1270.087-0.1780.0580.7300.7290.730-0.163-0.151-0.1920.0080.7300.7270.9070.0510.7290.7300.7300.7300.7300.7301.000
Controller Hub Temp. Avg. [°C]-0.7260.7250.7260.0360.9810.9150.1300.088-0.323-0.313-0.340-0.2470.7260.1530.1760.1900.171-0.1000.9191.0000.722-0.1140.4970.172-0.0460.000-0.262-0.292-0.294-0.291-0.316-0.295-0.0190.7250.726-0.189-0.1160.208-0.244-0.246-0.257-0.315-0.299-0.331-0.0430.5860.274-0.096-0.238-0.332-0.334-0.3370.577-0.333-0.324-0.325-0.261-0.343-0.327-0.325-0.2680.2330.0890.1970.064-0.160-0.204-0.169-0.103-0.089-0.0900.7260.7260.1140.1000.0790.0960.0330.034-0.2780.086-0.0220.1050.0090.097-0.048-0.262-0.0800.0750.6410.9810.981-0.259-0.2910.0450.242-0.2130.111-0.3270.1310.7270.7260.726-0.313-0.299-0.331-0.0260.7260.7200.9860.0350.7260.7260.7260.7260.7260.7261.000
Controller Top Temp. Avg. [°C]-0.7370.7370.7370.0420.9810.8290.0400.0650.1830.1820.1440.1800.7370.0670.0530.0130.0870.1030.7450.7221.0000.4070.8810.6520.0280.0000.2410.2100.2050.2050.1750.2080.3600.7370.7370.3550.4170.6580.2890.2880.2770.1620.1720.1160.0190.8860.7450.3980.0560.1410.1430.1420.5770.1760.1800.1420.1260.1440.1480.1200.108-0.0530.004-0.1070.066-0.022-0.095-0.0090.4080.4180.4180.7370.7370.5960.6490.6200.6330.074-0.0050.181-0.146-0.0090.106-0.0270.083-0.0440.0910.0140.0050.9490.9810.9810.0350.209-0.136-0.0530.139-0.0180.1600.0240.7370.7370.7370.1600.1730.1160.0180.7370.7400.7470.0750.7370.7370.7370.7370.7370.7371.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.1100.1120.1110.1970.9810.0340.055-0.0030.7850.7720.7050.6660.1110.086-0.415-0.519-0.3240.4010.008-0.1140.4071.0000.6420.821-0.0720.0000.8630.8540.8600.8560.8380.8630.6770.1120.1110.9210.9260.7850.9040.9060.9080.8120.7960.7260.1980.4520.7890.8750.6580.7890.7930.7960.5770.7840.7800.6730.6880.7950.8040.6820.694-0.628-0.348-0.535-0.1700.1350.1100.1990.8570.8550.8520.1110.1110.6470.8030.7880.794-0.1390.1730.626-0.0890.1530.1110.171-0.1090.1440.7090.241-0.0370.5190.9810.9810.6350.675-0.003-0.6480.464-0.1880.813-0.4030.1100.1110.1110.8050.7950.7270.1560.1110.115-0.101-0.1380.1110.1110.1100.1110.1110.1111.000
Controller VCP Temp. Avg. [°C]-0.5540.5540.5550.0690.9810.6260.0410.0430.4370.4360.3770.4030.5550.063-0.073-0.141-0.0090.2250.5560.4970.8810.6421.0000.874-0.0020.0000.5050.4780.4700.4730.4410.4760.4980.5540.5550.6160.6630.8360.5720.5700.5580.4280.4330.3680.0620.8500.8790.6580.2450.4100.4120.4110.5770.4340.4400.3690.3600.4120.4190.3550.339-0.233-0.063-0.2890.0420.045-0.0080.0960.6750.6870.6820.5550.5550.7380.8190.7950.8060.0410.0230.423-0.2310.0060.1080.0030.066-0.0260.3040.090-0.0230.9290.9810.9810.2290.462-0.195-0.2380.311-0.0710.429-0.0700.5540.5540.5550.4260.4330.3680.0460.5550.5600.5330.0420.5540.5550.5540.5550.5550.5551.000
Controller VCP WaterTemp. Avg. [°C]-0.3100.3100.3100.1410.9810.3200.0470.0160.7010.6910.6250.6040.3100.069-0.306-0.384-0.2170.3250.2780.1720.6520.8210.8741.000-0.0510.0240.7810.7610.7560.7570.7300.7600.6320.3100.3100.8530.8730.9500.8440.8420.8330.7170.7050.6440.1490.6740.8930.9020.5130.6940.6980.6990.5770.6990.6990.6020.6090.6990.7030.6020.599-0.487-0.205-0.501-0.0390.1260.0920.2040.9200.9320.9220.3100.3100.7430.8790.8640.872-0.0620.1090.649-0.2330.0830.1100.099-0.0250.0630.5770.172-0.0510.7540.9810.9810.4950.681-0.164-0.5040.462-0.1400.716-0.2530.3100.3100.3100.7150.7050.6440.1190.3100.3180.200-0.0620.3100.3100.3100.3100.3100.3101.000
First Alarm parameter 1 in 10 min frame-0.0370.0370.036-0.2310.000-0.014-0.079-0.0050.1830.1820.1760.1710.037-0.0790.1890.1900.189-0.108-0.025-0.0460.028-0.072-0.002-0.0511.0000.707-0.131-0.134-0.126-0.139-0.144-0.122-0.1260.0370.036-0.057-0.059-0.042-0.075-0.074-0.074-0.143-0.113-0.1560.0090.038-0.006-0.089-0.155-0.095-0.100-0.1020.0000.1830.1540.171-0.097-0.136-0.123-0.116-0.1180.1960.1530.1170.1010.0070.009-0.003-0.083-0.085-0.0820.0370.037-0.0920.0010.004-0.0090.693-0.585-0.064-0.1050.0050.008-0.641-0.004-0.119-0.091-0.035-0.018-0.0100.0000.000-0.202-0.054-0.0970.203-0.023-0.037-0.1360.1700.0370.0350.036-0.144-0.114-0.1570.0030.0370.025-0.0280.6870.0370.0370.0370.0370.0370.0371.000
First Alarm parameter 2 in 10 min frame0.0060.0180.0120.0000.0000.0000.0150.0220.0290.0360.0000.0430.0110.0070.1950.0000.0000.3130.0000.0000.0000.0000.0000.0240.7071.0000.0000.0000.0000.0000.0000.0000.1110.0150.0100.0000.0000.0000.0000.0000.0000.0610.0000.0000.1810.0000.0000.0000.0450.0000.0000.0000.0000.0080.0170.0090.0140.0000.0000.1760.1660.0500.0670.0700.2610.0000.0000.0000.0000.0000.0000.0110.0110.0250.0000.0000.0000.3270.2390.0510.0470.1240.0000.3150.1240.2390.0200.2040.0000.0000.0000.0000.0320.0000.0000.0400.0550.0130.0000.0420.0060.0190.0090.0600.0000.0000.1730.0110.0000.0000.2220.0170.0110.0060.0110.0120.0111.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.019-0.019-0.0190.2060.981-0.1170.053-0.0280.9170.8960.8340.751-0.0190.087-0.571-0.641-0.4560.374-0.114-0.2620.2410.8630.5050.781-0.1310.0001.0000.9910.9940.9910.9790.9910.680-0.019-0.0190.9390.9230.7540.9690.9680.9680.9750.9470.8890.2660.3110.6770.9010.7610.9470.9530.9570.5770.9160.9070.8030.8300.9540.9570.8240.842-0.720-0.334-0.677-0.1340.2100.1970.2930.9240.9150.918-0.019-0.0190.5800.7540.7490.751-0.2130.2290.826-0.2030.1880.1120.240-0.1510.1960.8200.236-0.0390.3650.9810.9810.7430.845-0.092-0.7500.575-0.2220.972-0.441-0.019-0.019-0.0190.9730.9470.8900.223-0.019-0.016-0.253-0.213-0.019-0.019-0.019-0.019-0.019-0.0191.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.048-0.047-0.0480.2070.981-0.1480.047-0.0290.9090.8910.8220.754-0.0480.079-0.555-0.626-0.4370.393-0.143-0.2920.2100.8540.4780.761-0.1340.0000.9911.0000.9900.9930.9820.9890.679-0.047-0.0480.9350.9160.7360.9660.9650.9650.9720.9470.8870.2640.2840.6570.8830.7430.9370.9430.9490.5770.9080.9040.7870.8300.9480.9550.8110.844-0.707-0.314-0.692-0.1090.2110.2010.2950.9120.9040.906-0.048-0.0480.5670.7410.7370.738-0.2160.2300.830-0.2110.1890.1120.242-0.1510.1980.7950.246-0.0400.3360.9810.9810.7310.849-0.104-0.7380.579-0.1970.966-0.425-0.048-0.048-0.0480.9720.9470.8880.221-0.048-0.045-0.284-0.215-0.048-0.048-0.048-0.048-0.048-0.0481.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.047-0.046-0.0470.2060.981-0.1520.047-0.0300.9220.9030.8380.758-0.0470.080-0.579-0.652-0.4630.365-0.144-0.2940.2050.8600.4700.756-0.1260.0000.9940.9901.0000.9920.9820.9950.681-0.046-0.0470.9320.9110.7290.9640.9640.9650.9770.9490.8870.2740.2770.6510.8890.7640.9540.9580.9620.5770.9220.9140.8130.8360.9570.9610.8310.848-0.720-0.334-0.671-0.1410.2110.2010.2950.9100.9010.903-0.047-0.0470.5590.7330.7290.730-0.2060.2220.826-0.2070.1840.1110.233-0.1470.1920.8340.234-0.0420.3290.9810.9810.7430.843-0.088-0.7490.573-0.2350.975-0.443-0.047-0.047-0.0470.9740.9490.8880.231-0.047-0.044-0.287-0.205-0.046-0.047-0.047-0.047-0.047-0.0471.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.047-0.047-0.0470.2060.981-0.1490.055-0.0320.9120.8910.8290.748-0.0470.088-0.568-0.636-0.4550.380-0.143-0.2910.2050.8560.4730.757-0.1390.0000.9910.9930.9921.0000.9850.9900.680-0.047-0.0470.9330.9140.7320.9640.9640.9640.9750.9450.8920.2560.2770.6490.8840.7580.9420.9480.9530.5770.9110.9030.7960.8280.9510.9540.8220.841-0.721-0.332-0.682-0.1320.2120.2010.2950.9090.9020.903-0.047-0.0470.5600.7320.7270.728-0.2180.2310.827-0.2010.1860.1120.244-0.1480.1950.8110.238-0.0410.3300.9810.9810.7450.845-0.094-0.7510.575-0.2160.970-0.442-0.047-0.047-0.0470.9740.9450.8930.212-0.047-0.045-0.284-0.217-0.047-0.047-0.047-0.047-0.047-0.0471.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.076-0.076-0.0760.2060.982-0.1760.047-0.0350.8990.8790.8170.736-0.0760.080-0.563-0.628-0.4510.383-0.170-0.3160.1750.8380.4410.730-0.1440.0000.9790.9820.9820.9851.0000.9820.683-0.076-0.0760.9230.9010.7080.9520.9510.9530.9640.9330.8880.2400.2440.6220.8600.7500.9300.9370.9420.5770.8980.8910.7820.8230.9410.9440.8100.835-0.715-0.324-0.688-0.1230.2120.2030.2950.8900.8830.883-0.076-0.0760.5390.7090.7040.705-0.2210.2330.827-0.2030.1840.1130.247-0.1460.1960.7960.240-0.0430.3000.9820.9820.7410.842-0.102-0.7450.572-0.2030.959-0.437-0.077-0.076-0.0760.9650.9330.8890.197-0.076-0.074-0.311-0.220-0.076-0.076-0.076-0.076-0.076-0.0761.000
Gear Oil TemperatureBasis Avg. [°C]0.048-0.047-0.0470.2060.981-0.1510.050-0.0310.9160.8960.8300.754-0.0480.083-0.569-0.639-0.4520.369-0.147-0.2950.2080.8630.4760.760-0.1220.0000.9910.9890.9950.9900.9821.0000.685-0.047-0.0470.9380.9180.7350.9670.9660.9680.9690.9420.8810.2700.2810.6560.8870.7540.9430.9480.9520.5770.9150.9070.8040.8290.9480.9520.8220.840-0.712-0.326-0.673-0.1310.2110.2010.2950.9100.9020.903-0.048-0.0480.5640.7380.7330.734-0.2010.2200.825-0.2100.1820.1120.229-0.1430.1860.8210.234-0.0420.3340.9810.9810.7350.842-0.096-0.7420.572-0.2260.967-0.435-0.048-0.047-0.0470.9670.9420.8820.228-0.048-0.045-0.287-0.201-0.047-0.048-0.048-0.048-0.047-0.0471.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.1010.1020.1020.2530.9820.0890.0590.0110.5690.5470.5080.4740.1010.098-0.209-0.297-0.1550.4020.070-0.0190.3600.6770.4980.632-0.1260.1110.6800.6790.6810.6800.6830.6851.0000.1020.1020.6900.6940.6330.6690.6700.6710.6300.6170.5760.1320.4310.5830.6360.4540.5610.5680.5730.5770.5580.5580.4760.4720.5920.6050.5070.490-0.466-0.234-0.444-0.0570.1040.0840.1550.6400.6510.6410.1010.1010.4760.5930.5760.588-0.2250.2590.507-0.1060.2190.1350.260-0.1730.2140.4540.171-0.0470.4470.9820.9820.4500.558-0.086-0.4720.372-0.0610.613-0.2680.1010.1020.1020.6260.6170.5770.0850.1010.104-0.008-0.2250.1020.1010.1010.1010.1020.1011.000
Generator 1 hours [h]-1.0001.0001.000-0.0730.1580.7730.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7290.7250.7370.1120.5540.3100.0370.015-0.019-0.047-0.046-0.047-0.076-0.0470.1021.0001.0000.0640.1320.386-0.000-0.002-0.009-0.071-0.072-0.0570.0040.5980.4320.088-0.058-0.102-0.100-0.0990.093-0.063-0.064-0.072-0.043-0.065-0.096-0.063-0.0590.029-0.0310.038-0.010-0.121-0.215-0.1590.0940.1010.1051.0001.0000.2740.3340.3080.3210.083-0.089-0.0520.007-0.097-0.041-0.0930.089-0.106-0.043-0.0240.0640.6420.1580.158-0.038-0.071-0.0000.029-0.0690.023-0.072-0.0061.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7230.0841.0001.0001.0001.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.0730.1890.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0360.010-0.019-0.048-0.047-0.047-0.076-0.0470.1021.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0050.5990.4320.088-0.059-0.102-0.100-0.0990.111-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3330.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1890.189-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0831.0001.0001.0001.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.0630.0640.0630.2000.981-0.0250.037-0.0080.8600.8470.7720.7290.0630.068-0.472-0.550-0.3570.381-0.048-0.1890.3550.9210.6160.853-0.0570.0000.9390.9350.9320.9330.9230.9380.6900.0640.0631.0000.9880.8390.9800.9810.9820.8910.8750.8080.2450.4230.7940.9060.6680.8570.8630.8660.5770.8590.8570.7380.7680.8660.8760.7370.775-0.633-0.265-0.649-0.0600.1890.1670.2690.9330.9320.9320.0630.0630.6570.8460.8400.842-0.1410.1760.791-0.2400.1660.1120.172-0.1250.1550.7260.246-0.0280.4820.9810.9810.6470.810-0.149-0.6610.552-0.1690.884-0.3600.0630.0630.0630.8900.8750.8100.2030.0630.067-0.172-0.1400.0640.0630.0630.0630.0630.0631.000
Generator Bearing2 Temp. Avg. [°C]-0.1310.1320.1310.1990.9810.0410.064-0.0010.8370.8240.7470.7130.1310.096-0.461-0.540-0.3480.3930.019-0.1160.4170.9260.6630.873-0.0590.0000.9230.9160.9110.9140.9010.9180.6940.1320.1310.9881.0000.8620.9660.9670.9670.8700.8550.7900.2370.4770.8230.9030.6590.8310.8380.8410.5770.8340.8320.7070.7480.8420.8540.7100.757-0.628-0.270-0.644-0.0610.1770.1510.2560.9260.9270.9260.1310.1310.6870.8640.8550.859-0.1460.1790.767-0.2170.1700.1120.178-0.1290.1590.7060.257-0.0230.5390.9810.9810.6410.786-0.137-0.6550.534-0.1520.860-0.3640.1310.1310.1310.8690.8550.7910.1940.1310.135-0.099-0.1460.1310.1310.1310.1310.1310.1311.000
Generator CoolingWater Temp. Avg. [°C]-0.3860.3860.3860.1600.9810.3580.0880.0260.6690.6590.5940.5750.3860.115-0.299-0.365-0.2100.3040.3120.2080.6580.7850.8360.950-0.0420.0000.7540.7360.7290.7320.7080.7350.6330.3860.3860.8390.8621.0000.8140.8120.8040.6880.6770.6170.1630.6770.8790.8590.4830.6560.6610.6620.5770.6650.6650.5700.5800.6640.6690.5680.574-0.457-0.173-0.502-0.0030.1170.0680.1830.8850.8980.8920.3860.3860.7110.8630.8490.858-0.0810.1250.644-0.2500.1060.1110.117-0.0520.0890.5410.167-0.0260.7530.9810.9810.4630.664-0.186-0.4760.450-0.1190.681-0.2290.3860.3860.3860.6860.6770.6170.1350.3860.3880.236-0.0800.3860.3860.3860.3860.3860.3861.000
Generator Phase1 Temp. Avg. [°C]0.001-0.000-0.0010.1970.981-0.0890.037-0.0190.8960.8810.8080.750-0.0010.068-0.509-0.587-0.3950.385-0.097-0.2440.2890.9040.5720.844-0.0750.0000.9690.9660.9640.9640.9520.9670.669-0.000-0.0010.9800.9660.8141.0000.9990.9990.9310.9090.8480.2400.3590.7450.9300.7180.9060.9120.9150.5770.8960.8900.7770.8010.9110.9180.7830.807-0.677-0.297-0.667-0.0960.2040.1910.2890.9540.9510.950-0.001-0.0010.6270.8110.8070.808-0.1520.1790.817-0.2280.1650.1110.183-0.1230.1620.7780.244-0.0430.4190.9810.9810.6980.837-0.130-0.7070.572-0.2030.929-0.398-0.001-0.001-0.0010.9300.9090.8490.199-0.0010.003-0.229-0.152-0.001-0.001-0.001-0.001-0.001-0.0011.000
Generator Phase2 Temp. Avg. [°C]0.003-0.002-0.0020.1980.981-0.0910.037-0.0190.8950.8800.8070.750-0.0020.067-0.508-0.586-0.3940.385-0.100-0.2460.2880.9060.5700.842-0.0740.0000.9680.9650.9640.9640.9510.9660.670-0.002-0.0020.9810.9670.8120.9991.0000.9990.9300.9080.8460.2420.3580.7450.9280.7170.9050.9110.9140.5770.8950.8890.7770.8000.9090.9170.7810.807-0.676-0.295-0.666-0.0940.2030.1900.2890.9520.9490.948-0.002-0.0020.6260.8120.8070.808-0.1520.1800.816-0.2290.1650.1110.183-0.1240.1620.7760.245-0.0420.4170.9810.9810.6960.836-0.131-0.7050.572-0.2020.928-0.396-0.003-0.002-0.0030.9280.9080.8470.200-0.0020.002-0.231-0.152-0.002-0.002-0.003-0.002-0.002-0.0021.000
Generator Phase3 Temp. Avg. [°C]0.010-0.009-0.0100.1990.981-0.1020.036-0.0200.8960.8810.8070.751-0.0100.067-0.509-0.588-0.3950.384-0.111-0.2570.2770.9080.5580.833-0.0740.0000.9680.9650.9650.9640.9530.9680.671-0.009-0.0100.9820.9670.8040.9990.9991.0000.9310.9090.8460.2440.3490.7390.9230.7180.9060.9110.9150.5770.8960.8900.7780.8000.9100.9180.7820.807-0.676-0.295-0.666-0.0950.2040.1910.2880.9460.9430.943-0.010-0.0100.6210.8080.8030.804-0.1540.1810.816-0.2290.1680.1110.185-0.1270.1650.7770.246-0.0410.4070.9810.9810.6970.836-0.130-0.7060.572-0.2030.928-0.397-0.011-0.010-0.0100.9290.9090.8470.203-0.010-0.006-0.243-0.154-0.010-0.010-0.010-0.010-0.010-0.0101.000
Generator RPM Avg. [RPM]0.071-0.071-0.0710.1880.178-0.1810.052-0.0360.9270.9070.8460.759-0.0710.082-0.594-0.671-0.4780.378-0.165-0.3150.1620.8120.4280.717-0.1430.0610.9750.9720.9770.9750.9640.9690.630-0.071-0.0710.8910.8700.6880.9310.9300.9311.0000.9660.9060.2780.2310.6030.8660.7710.9600.9660.9710.1020.9230.9180.8050.8480.9660.9710.8310.860-0.732-0.344-0.674-0.1520.2170.2090.3000.8900.8790.882-0.071-0.0710.5300.6930.6910.691-0.2260.2320.823-0.1870.1880.1050.250-0.1550.2050.8220.246-0.0410.2840.1780.1780.7580.841-0.072-0.7610.568-0.2180.983-0.457-0.072-0.071-0.0710.9950.9660.9080.232-0.071-0.069-0.309-0.226-0.071-0.071-0.071-0.071-0.071-0.0711.000
Generator RPM Max. [RPM]0.072-0.072-0.0720.1810.191-0.1730.021-0.0190.9070.9140.7880.827-0.0720.048-0.533-0.655-0.3700.486-0.150-0.2990.1720.7960.4330.705-0.1130.0000.9470.9470.9490.9450.9330.9420.617-0.072-0.0720.8750.8550.6770.9090.9080.9090.9661.0000.8280.4230.2530.6080.8410.6870.9390.9440.9480.1110.9080.9360.7340.8800.9430.9850.7420.896-0.643-0.224-0.729-0.0150.2160.2120.3020.8680.8570.861-0.072-0.0720.5350.6980.6980.698-0.1980.2080.817-0.2210.1820.1050.223-0.1480.1950.7730.331-0.0430.2970.1910.1910.6760.840-0.093-0.6830.595-0.0880.959-0.360-0.072-0.072-0.0720.9610.9990.8300.376-0.072-0.069-0.287-0.197-0.072-0.072-0.072-0.072-0.072-0.0721.000
Generator RPM Min. [RPM]0.057-0.057-0.0570.0800.977-0.1950.104-0.0620.8410.7810.8830.556-0.0570.094-0.579-0.552-0.5710.228-0.192-0.3310.1160.7260.3680.644-0.1560.0000.8890.8870.8870.8920.8880.8810.576-0.057-0.0570.8080.7900.6170.8480.8460.8460.9060.8281.0000.0450.1760.5230.7720.7310.8580.8680.8771.0000.8320.7900.8170.7020.9150.8430.8980.709-0.788-0.465-0.550-0.2690.1860.1720.2550.8090.8020.801-0.057-0.0570.4590.6150.6110.611-0.2370.1550.777-0.1780.074-0.0970.180-0.1550.1030.7350.110-0.0580.2240.9770.9770.7730.784-0.133-0.7750.501-0.3210.901-0.530-0.057-0.057-0.0570.9130.8300.9980.012-0.057-0.055-0.332-0.237-0.057-0.057-0.057-0.057-0.057-0.0571.000
Generator RPM StdDev [RPM]-0.0050.0040.0040.1280.030-0.040-0.0290.0720.2650.3180.1030.4260.004-0.019-0.356-0.435-0.1230.2750.001-0.0430.0190.1980.0620.1490.0090.1810.2660.2640.2740.2560.2400.2700.1320.0040.0050.2450.2370.1630.2400.2420.2440.2780.4230.0451.0000.0560.1630.1820.1220.2570.2540.2500.0160.2650.3390.0660.4180.2450.351-0.0030.438-0.0670.154-0.4250.2860.0660.0740.0970.2030.1970.2050.0040.0040.0660.1380.1410.140-0.0790.1070.182-0.0020.1560.1000.112-0.1210.1570.2850.3270.0530.0440.0300.0300.1150.1280.151-0.1310.1860.2350.261-0.0040.0050.0050.0050.2650.4220.0450.9840.0040.004-0.049-0.0790.0040.0040.0040.0040.0040.0041.000
Generator SlipRing Temp. Avg. [°C]-0.5990.5980.5990.0700.9810.703-0.0010.0700.2520.2520.2140.2520.5990.0220.1200.0640.1670.1250.6050.5860.8860.4520.8500.6740.0380.0000.3110.2840.2770.2770.2440.2810.4310.5980.5990.4230.4770.6770.3590.3580.3490.2310.2530.1760.0561.0000.7490.4410.0160.2190.2180.2130.5770.2430.2520.2280.1540.2090.2260.1870.143-0.0010.113-0.1260.1750.003-0.0520.0340.4610.4690.4740.5990.5990.7130.6740.6530.6660.0490.0110.296-0.3070.0270.107-0.0040.0400.0030.0840.005-0.0020.9040.9810.981-0.0140.339-0.2840.0010.222-0.0230.2240.1220.5990.5980.5990.2280.2530.1750.0470.5990.6030.6350.0490.5990.5990.5990.5990.5990.5991.000
Grid Busbar Temp. Avg. [°C]-0.4310.4320.4320.1310.9810.4270.0490.0300.6020.6030.5230.5510.4320.074-0.217-0.289-0.1270.2850.3880.2740.7450.7890.8790.893-0.0060.0000.6770.6570.6510.6490.6220.6560.5830.4320.4320.7940.8230.8790.7450.7450.7390.6030.6080.5230.1630.7491.0000.7700.3970.5730.5760.5760.5770.6000.6060.5080.5110.5820.5910.4920.504-0.378-0.130-0.4360.0210.0890.0440.1550.7930.8000.8000.4320.4320.7730.9290.9140.923-0.0230.0750.567-0.2500.0720.1100.063-0.0120.0500.4580.167-0.0120.8310.9810.9810.3710.599-0.190-0.3930.410-0.1010.599-0.1690.4310.4320.4310.6010.6070.5240.1370.4320.4380.305-0.0220.4320.4320.4310.4320.4320.4321.000
Grid InverterPhase1 Temp. Avg. [°C]-0.0870.0880.0880.1640.9810.0500.038-0.0170.8370.8210.7580.6970.0880.066-0.464-0.564-0.3720.3660.034-0.0960.3980.8750.6580.902-0.0890.0000.9010.8830.8890.8840.8600.8870.6360.0880.0880.9060.9030.8590.9300.9280.9230.8660.8410.7720.1820.4410.7701.0000.7050.8620.8660.8670.5770.8370.8280.7360.7360.8560.8570.7510.735-0.659-0.352-0.555-0.1930.1680.1480.2450.9690.9640.9640.0880.0880.6360.8000.7930.796-0.1340.1620.703-0.1440.1320.1110.166-0.0840.1300.7720.207-0.0670.5160.9810.9810.6780.744-0.045-0.6800.494-0.2270.874-0.4160.0870.0870.0880.8600.8400.7730.1450.0880.094-0.079-0.1330.0880.0880.0870.0880.0880.0881.000
Grid Production CosPhi Avg.0.059-0.058-0.0590.2240.376-0.1520.083-0.0300.7120.6710.6610.475-0.0590.116-0.739-0.768-0.7050.226-0.125-0.2380.0560.6580.2450.513-0.1550.0450.7610.7430.7640.7580.7500.7540.454-0.058-0.0590.6680.6590.4830.7180.7170.7180.7710.6870.7310.1220.0160.3970.7051.0000.7640.7730.7780.2190.7100.6550.6160.6720.7530.7260.6730.695-0.909-0.709-0.490-0.5670.1300.1160.1780.6660.6590.652-0.059-0.0590.2440.4110.4020.400-0.2560.2720.4620.2990.2250.1350.288-0.1810.2410.8570.2190.0240.1300.3760.3760.9300.4520.344-0.9370.318-0.3740.777-0.776-0.059-0.058-0.0590.7640.6880.7330.091-0.059-0.057-0.272-0.255-0.059-0.059-0.059-0.059-0.059-0.0591.000
Grid Production CurrentPhase1 Avg. [A]0.102-0.102-0.1020.1370.056-0.2060.024-0.0420.9320.9210.8460.779-0.1020.054-0.554-0.638-0.4420.310-0.189-0.3320.1410.7890.4100.694-0.0950.0000.9470.9370.9540.9420.9300.9430.561-0.102-0.1020.8570.8310.6560.9060.9050.9060.9600.9390.8580.2570.2190.5730.8620.7641.0000.9970.9940.0330.9370.9240.8450.8380.9590.9640.8440.840-0.680-0.295-0.609-0.1570.2120.2100.2980.8740.8580.864-0.102-0.1020.5320.6700.6710.669-0.1400.1580.821-0.2420.1350.1090.172-0.0890.1470.8460.208-0.0550.2610.0560.0560.7170.844-0.100-0.7070.581-0.2960.976-0.405-0.102-0.102-0.1020.9530.9380.8600.221-0.102-0.100-0.316-0.140-0.102-0.102-0.102-0.102-0.102-0.1021.000
Grid Production CurrentPhase2 Avg. [A]0.100-0.100-0.1000.1420.056-0.2060.027-0.0420.9340.9210.8500.776-0.1000.058-0.562-0.643-0.4500.321-0.191-0.3340.1430.7930.4120.698-0.1000.0000.9530.9430.9580.9480.9370.9480.568-0.100-0.1000.8630.8380.6610.9120.9110.9110.9660.9440.8680.2540.2180.5760.8660.7730.9971.0000.9970.0330.9380.9260.8420.8410.9640.9690.8450.844-0.693-0.307-0.620-0.1620.2160.2110.3010.8790.8630.869-0.100-0.1000.5320.6720.6720.671-0.1500.1670.822-0.2290.1420.1090.181-0.0970.1540.8460.213-0.0540.2620.0560.0560.7310.846-0.093-0.7210.582-0.2870.981-0.418-0.100-0.100-0.1000.9600.9430.8700.218-0.100-0.098-0.319-0.150-0.100-0.100-0.100-0.100-0.100-0.1001.000
Grid Production CurrentPhase3 Avg. [A]0.099-0.099-0.0990.1470.057-0.2090.030-0.0430.9360.9210.8540.773-0.0990.061-0.568-0.647-0.4580.331-0.193-0.3370.1420.7960.4110.699-0.1020.0000.9570.9490.9620.9530.9420.9520.573-0.099-0.0990.8660.8410.6620.9150.9140.9150.9710.9480.8770.2500.2130.5760.8670.7780.9940.9971.0000.0340.9400.9270.8400.8440.9680.9720.8460.849-0.705-0.318-0.629-0.1660.2170.2120.2990.8810.8660.871-0.099-0.0990.5300.6730.6720.671-0.1560.1720.822-0.2160.1460.1090.187-0.1020.1590.8460.218-0.0530.2600.0570.0570.7430.846-0.083-0.7330.582-0.2790.985-0.429-0.099-0.099-0.0990.9660.9480.8780.214-0.099-0.097-0.324-0.156-0.099-0.099-0.099-0.099-0.099-0.0991.000
Grid Production Frequency Avg. [Hz]0.1060.1040.1090.5540.9820.2820.0440.0080.0780.0981.0000.0480.1090.1770.0111.0001.0000.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5770.0930.1110.5770.5770.5770.5770.5770.5770.1020.1111.0000.0160.5770.5770.5770.2190.0330.0330.0341.0000.0330.0440.0250.0210.0820.5770.2920.0150.0140.0230.0350.0050.7040.7040.7040.5770.5770.5770.1090.1090.5770.5770.5770.5770.0000.2410.0410.0340.3200.5770.2210.0000.2880.0570.0000.5770.5770.9820.9820.0150.0240.0240.0140.0320.0000.0340.0150.1320.0980.1270.1010.1111.0000.0140.1090.3490.5770.0000.0990.1120.1300.1080.0940.1051.000
Grid Production PossiblePower Avg. [W]0.063-0.063-0.0630.0620.056-0.1870.008-0.0380.9930.9770.9070.830-0.0630.034-0.507-0.581-0.3940.324-0.176-0.3330.1760.7840.4340.6990.1830.0080.9160.9080.9220.9110.8980.9150.558-0.063-0.0630.8590.8340.6650.8960.8950.8960.9230.9080.8320.2650.2430.6000.8370.7100.9370.9380.9400.0331.0000.9810.8830.8150.9170.9210.8020.801-0.649-0.278-0.608-0.1230.2180.2120.2990.8580.8440.848-0.063-0.0630.5070.6940.6920.6870.077-0.0300.795-0.2380.1050.091-0.037-0.0650.0790.8140.218-0.0630.2840.0560.0560.6790.820-0.111-0.6760.567-0.2570.932-0.381-0.063-0.064-0.0630.9180.9080.8320.226-0.063-0.064-0.3170.075-0.063-0.063-0.063-0.063-0.063-0.0631.000
Grid Production PossiblePower Max. [W]0.064-0.064-0.0640.0640.077-0.183-0.011-0.0200.9720.9820.8530.886-0.0640.014-0.474-0.594-0.3280.415-0.165-0.3240.1800.7800.4400.6990.1540.0170.9070.9040.9140.9030.8910.9070.558-0.064-0.0640.8570.8320.6650.8900.8890.8900.9180.9360.7900.3390.2520.6060.8280.6550.9240.9260.9270.0440.9811.0000.8170.8670.9080.9440.7440.849-0.598-0.199-0.662-0.0340.2190.2160.3050.8510.8390.842-0.064-0.0640.5260.7020.7030.6980.072-0.0240.798-0.2580.0900.095-0.030-0.0450.0670.7810.293-0.0660.2950.0770.0770.6340.824-0.122-0.6320.581-0.1500.923-0.322-0.064-0.064-0.0640.9130.9350.7920.297-0.064-0.063-0.3060.070-0.064-0.064-0.064-0.064-0.064-0.0641.000
Grid Production PossiblePower Min. [W]0.072-0.072-0.0720.0340.047-0.1860.030-0.0770.8850.8280.9100.605-0.0720.053-0.431-0.409-0.4260.008-0.197-0.3250.1420.6730.3690.6020.1710.0090.8030.7870.8130.7960.7820.8040.476-0.072-0.0720.7380.7070.5700.7770.7770.7780.8050.7340.8170.0660.2280.5080.7360.6160.8450.8420.8400.0250.8830.8171.0000.5850.8130.7630.9090.577-0.594-0.292-0.353-0.2210.1950.1880.2600.7530.7360.746-0.072-0.0720.4550.6090.6070.6040.065-0.0330.740-0.3480.0920.058-0.039-0.0710.0670.727-0.026-0.0730.2330.0470.0470.5640.761-0.246-0.5590.488-0.5090.821-0.341-0.073-0.073-0.0720.8000.7360.8160.041-0.072-0.074-0.3040.063-0.072-0.072-0.072-0.072-0.072-0.0721.000
Grid Production PossiblePower StdDev [W]0.043-0.043-0.0430.1280.039-0.144-0.0060.0250.8030.8400.6390.820-0.0430.012-0.600-0.759-0.4060.438-0.107-0.2610.1260.6880.3600.609-0.0970.0140.8300.8300.8360.8280.8230.8290.472-0.043-0.0430.7680.7480.5800.8010.8000.8000.8480.8800.7020.4180.1540.5110.7360.6720.8380.8410.8440.0210.8150.8670.5851.0000.8320.8920.5980.976-0.608-0.213-0.708-0.0450.1970.1950.2830.7630.7530.752-0.043-0.0430.4680.5940.6000.592-0.0980.1210.717-0.1360.0750.0860.124-0.0310.0790.7560.402-0.0250.2290.0390.0390.6650.697-0.003-0.6610.514-0.0780.848-0.377-0.043-0.043-0.0430.8460.8780.7050.380-0.043-0.037-0.263-0.097-0.043-0.043-0.043-0.043-0.043-0.0431.000
Grid Production Power Avg. [W]0.066-0.065-0.0660.0740.138-0.2080.051-0.0410.9120.8920.8710.745-0.0660.046-0.575-0.634-0.4900.354-0.195-0.3430.1440.7950.4120.699-0.1360.0000.9540.9480.9570.9510.9410.9480.592-0.065-0.0660.8660.8420.6640.9110.9090.9100.9660.9430.9150.2450.2090.5820.8560.7530.9590.9640.9680.0820.9170.9080.8130.8321.0000.9610.8690.838-0.739-0.362-0.652-0.1770.1930.1840.2750.8740.8610.864-0.066-0.0660.5190.6750.6730.672-0.1940.1280.815-0.2030.057-0.0750.150-0.1200.0820.8280.213-0.0710.2650.1380.1380.7760.839-0.077-0.7660.578-0.2500.989-0.463-0.066-0.066-0.0650.9620.9430.9170.211-0.066-0.063-0.334-0.193-0.066-0.066-0.066-0.066-0.066-0.0661.000
Grid Production Power Max. [W]0.096-0.096-0.0960.1730.981-0.2020.014-0.0230.9160.9200.8020.821-0.0970.045-0.548-0.668-0.4010.457-0.180-0.3270.1480.8040.4190.703-0.1230.0000.9570.9550.9610.9540.9440.9520.605-0.096-0.0970.8760.8540.6690.9180.9170.9180.9710.9850.8430.3510.2260.5910.8570.7260.9640.9690.9720.5770.9210.9440.7630.8920.9611.0000.7780.902-0.673-0.260-0.711-0.0720.2170.2140.3030.8760.8640.867-0.097-0.0970.5380.6860.6860.685-0.1830.1950.818-0.2060.1580.1080.211-0.1170.1730.8100.309-0.0480.2730.9810.9810.7140.842-0.074-0.7080.592-0.1440.979-0.392-0.097-0.096-0.0960.9660.9840.8450.308-0.097-0.094-0.315-0.182-0.097-0.097-0.097-0.097-0.097-0.0971.000
Grid Production Power Min. [W]0.063-0.063-0.0630.0260.496-0.1930.074-0.0770.8030.7450.8680.523-0.0630.066-0.505-0.459-0.5500.025-0.200-0.3250.1200.6820.3550.602-0.1160.1760.8240.8110.8310.8220.8100.8220.507-0.063-0.0630.7370.7100.5680.7830.7810.7820.8310.7420.898-0.0030.1870.4920.7510.6730.8440.8450.8460.2920.8020.7440.9090.5980.8690.7781.0000.584-0.734-0.433-0.372-0.3530.1660.1550.2300.7580.7440.749-0.063-0.0630.4600.5870.5830.584-0.1520.0820.724-0.2630.013-0.1000.101-0.0830.0340.736-0.016-0.0730.2210.4960.4960.6840.741-0.198-0.6720.440-0.5160.854-0.479-0.064-0.064-0.0630.8270.7430.898-0.024-0.063-0.062-0.312-0.152-0.063-0.063-0.063-0.063-0.063-0.0631.000
Grid Production Power StdDev [W]0.059-0.059-0.0590.1820.034-0.157-0.0090.0140.7920.8240.6320.801-0.0590.017-0.616-0.778-0.4190.460-0.119-0.2680.1080.6940.3390.599-0.1180.1660.8420.8440.8480.8410.8350.8400.490-0.059-0.0590.7750.7570.5740.8070.8070.8070.8600.8960.7090.4380.1430.5040.7350.6950.8400.8440.8490.0150.8010.8490.5770.9760.8380.9020.5841.000-0.623-0.227-0.734-0.0290.1940.1930.2770.7610.7510.753-0.059-0.0590.4420.5850.5920.585-0.1940.2080.718-0.1160.1760.1080.221-0.1400.1900.7420.422-0.0130.2130.0340.0340.6730.7000.019-0.6800.520-0.0650.857-0.393-0.059-0.059-0.0590.8590.8950.7120.397-0.059-0.053-0.274-0.193-0.059-0.059-0.059-0.059-0.059-0.0591.000
Grid Production ReactivePower Avg. [W]-0.0290.0290.029-0.1500.0290.143-0.1090.035-0.654-0.601-0.670-0.3990.029-0.1070.7330.7100.769-0.2260.1190.233-0.053-0.628-0.233-0.4870.1960.050-0.720-0.707-0.720-0.721-0.715-0.712-0.4660.0290.029-0.633-0.628-0.457-0.677-0.676-0.676-0.732-0.643-0.788-0.067-0.001-0.378-0.659-0.909-0.680-0.693-0.7050.014-0.649-0.598-0.594-0.608-0.739-0.673-0.734-0.6231.0000.8110.4610.649-0.096-0.079-0.137-0.623-0.621-0.6090.0290.029-0.211-0.388-0.375-0.3750.288-0.228-0.411-0.342-0.1340.033-0.2520.184-0.162-0.782-0.2130.001-0.1250.0290.029-0.947-0.399-0.3180.959-0.2350.377-0.7370.8640.0290.0290.029-0.728-0.645-0.790-0.0390.0290.0270.2730.2870.0290.0290.0290.0290.0290.0291.000
Grid Production ReactivePower Max. [W]0.031-0.031-0.031-0.0790.0400.045-0.1320.048-0.286-0.214-0.378-0.004-0.031-0.1160.5670.5050.692-0.0430.0340.0890.004-0.348-0.063-0.2050.1530.067-0.334-0.314-0.334-0.332-0.324-0.326-0.234-0.031-0.031-0.265-0.270-0.173-0.297-0.295-0.295-0.344-0.224-0.4650.1540.113-0.130-0.352-0.709-0.295-0.307-0.3180.023-0.278-0.199-0.292-0.213-0.362-0.260-0.433-0.2270.8111.0000.0140.8630.0440.0670.052-0.264-0.266-0.249-0.031-0.0310.051-0.076-0.057-0.0580.228-0.1510.061-0.642-0.0640.105-0.1700.145-0.086-0.5340.049-0.022-0.0090.0400.040-0.7560.051-0.5820.7690.1070.353-0.3500.863-0.031-0.031-0.031-0.342-0.227-0.4650.168-0.031-0.0330.1470.228-0.031-0.031-0.031-0.031-0.031-0.0311.000
Grid Production ReactivePower Min. [W]-0.0390.0380.039-0.1640.0520.116-0.004-0.036-0.602-0.629-0.455-0.6300.039-0.0190.4460.5340.265-0.5500.0840.197-0.107-0.535-0.289-0.5010.1170.070-0.677-0.692-0.671-0.682-0.688-0.673-0.4440.0380.039-0.649-0.644-0.502-0.667-0.666-0.666-0.674-0.729-0.550-0.425-0.126-0.436-0.555-0.490-0.609-0.620-0.6290.035-0.608-0.662-0.353-0.708-0.652-0.711-0.372-0.7340.4610.0141.000-0.231-0.160-0.159-0.233-0.614-0.617-0.6110.0390.039-0.334-0.489-0.489-0.4880.195-0.194-0.6430.117-0.158-0.073-0.2080.141-0.172-0.517-0.5240.001-0.2000.0520.052-0.515-0.6140.0550.532-0.494-0.205-0.6650.2340.0390.0380.039-0.676-0.728-0.553-0.3890.0390.0370.2030.1940.0390.0390.0390.0390.0390.0391.000
Grid Production ReactivePower StdDev [W]0.009-0.010-0.009-0.0010.0150.049-0.1170.039-0.126-0.066-0.2310.117-0.009-0.1050.4280.3550.5920.2000.0370.0640.066-0.1700.042-0.0390.1010.261-0.134-0.109-0.141-0.132-0.123-0.131-0.057-0.010-0.009-0.060-0.061-0.003-0.096-0.094-0.095-0.152-0.015-0.2690.2860.1750.021-0.193-0.567-0.157-0.162-0.1660.005-0.123-0.034-0.221-0.045-0.177-0.072-0.353-0.0290.6490.863-0.2311.0000.0360.0550.060-0.085-0.080-0.068-0.009-0.0090.1200.0730.0860.0890.099-0.0540.220-0.6070.0110.064-0.0660.030-0.001-0.3980.113-0.0240.0770.0150.015-0.5950.205-0.5470.5780.2350.524-0.1690.758-0.009-0.009-0.009-0.147-0.017-0.2700.287-0.009-0.0090.1090.099-0.009-0.009-0.009-0.009-0.009-0.0091.000
Grid Production VoltagePhase1 Avg. [V]0.121-0.121-0.1210.0660.986-0.1270.016-0.0090.2200.2200.1850.187-0.1210.037-0.118-0.136-0.0700.050-0.136-0.160-0.0220.1350.0450.1260.0070.0000.2100.2110.2110.2120.2120.2110.104-0.121-0.1210.1890.1770.1170.2040.2030.2040.2170.2160.1860.0660.0030.0890.1680.1300.2120.2160.2170.7040.2180.2190.1950.1970.1930.2170.1660.194-0.0960.044-0.1600.0361.0000.9750.9740.1910.1860.188-0.121-0.1210.1380.1350.1390.136-0.0060.0360.218-0.1100.0560.1080.0480.0060.0620.1610.049-0.0150.0000.9860.9860.1140.215-0.080-0.1020.177-0.0400.210-0.008-0.121-0.122-0.1210.2190.2160.1860.056-0.121-0.119-0.157-0.007-0.121-0.121-0.121-0.121-0.121-0.1211.000
Grid Production VoltagePhase2 Avg. [V]0.214-0.214-0.2140.0620.986-0.188-0.008-0.0190.2120.2190.1690.198-0.2140.010-0.108-0.130-0.0550.053-0.171-0.204-0.0950.110-0.0080.0920.0090.0000.1970.2010.2010.2010.2030.2010.084-0.215-0.2140.1670.1510.0680.1910.1900.1910.2090.2120.1720.074-0.0520.0440.1480.1160.2100.2110.2120.7040.2120.2160.1880.1950.1840.2140.1550.193-0.0790.067-0.1590.0550.9751.0000.9780.1720.1680.169-0.214-0.2140.1010.0950.1020.098-0.0020.0310.217-0.1220.0530.1070.0430.0100.0600.1490.055-0.024-0.0570.9860.9860.0950.213-0.090-0.0850.179-0.0340.2000.010-0.214-0.215-0.2140.2100.2120.1720.063-0.214-0.211-0.199-0.002-0.214-0.214-0.214-0.214-0.214-0.2141.000
Grid Production VoltagePhase3 Avg. [V]0.159-0.159-0.1590.0590.986-0.1320.010-0.0160.2990.3090.2430.281-0.1590.026-0.157-0.185-0.0890.086-0.122-0.169-0.0090.1990.0960.204-0.0030.0000.2930.2950.2950.2950.2950.2950.155-0.159-0.1590.2690.2560.1830.2890.2890.2880.3000.3020.2550.0970.0340.1550.2450.1780.2980.3010.2990.7040.2990.3050.2600.2830.2750.3030.2300.277-0.1370.052-0.2330.0600.9740.9781.0000.2770.2730.275-0.159-0.1590.1980.2040.2110.207-0.0030.0380.315-0.1720.0460.1070.0440.0180.0460.2210.079-0.0240.0440.9860.9860.1570.308-0.131-0.1470.238-0.0500.291-0.019-0.159-0.159-0.1590.3020.3020.2560.082-0.159-0.156-0.159-0.003-0.159-0.159-0.159-0.159-0.159-0.1591.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.0940.0940.0940.1610.9810.0520.036-0.0140.8580.8430.7760.7170.0940.064-0.459-0.533-0.3530.3440.034-0.1030.4080.8570.6750.920-0.0830.0000.9240.9120.9100.9090.8900.9100.6400.0940.0940.9330.9260.8850.9540.9520.9460.8900.8680.8090.2030.4610.7930.9690.6660.8740.8790.8810.5770.8580.8510.7530.7630.8740.8760.7580.761-0.623-0.264-0.614-0.0850.1910.1720.2771.0000.9920.9940.0940.0940.6680.8360.8310.834-0.1240.1540.794-0.2570.1260.1110.157-0.0770.1230.7330.201-0.0650.5310.9810.9810.6450.818-0.158-0.6490.557-0.2060.892-0.3500.0930.0940.0940.8890.8690.8100.1680.0940.100-0.082-0.1230.0940.0940.0940.0940.0940.0941.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1000.1010.1010.1670.9810.0640.038-0.0120.8450.8300.7630.7060.1010.064-0.451-0.524-0.3460.3540.046-0.0890.4180.8550.6870.932-0.0850.0000.9150.9040.9010.9020.8830.9020.6510.1010.1010.9320.9270.8980.9510.9490.9430.8790.8570.8020.1970.4690.8000.9640.6590.8580.8630.8660.5770.8440.8390.7360.7530.8610.8640.7440.751-0.621-0.266-0.617-0.0800.1860.1680.2730.9921.0000.9910.1010.1010.6700.8370.8310.835-0.1280.1590.785-0.2480.1270.1110.160-0.0780.1230.7190.206-0.0590.5420.9810.9810.6410.809-0.156-0.6470.551-0.1910.879-0.3500.1000.1000.1010.8780.8580.8030.1620.1010.107-0.069-0.1270.1010.1010.1000.1010.1010.1011.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1050.1050.1050.1680.9810.0650.037-0.0120.8490.8340.7680.7100.1050.066-0.448-0.521-0.3410.3400.045-0.0900.4180.8520.6820.922-0.0820.0000.9180.9060.9030.9030.8830.9030.6410.1050.1050.9320.9260.8920.9500.9480.9430.8820.8610.8010.2050.4740.8000.9640.6520.8640.8690.8710.5770.8480.8420.7460.7520.8640.8670.7490.753-0.609-0.249-0.611-0.0680.1880.1690.2750.9940.9911.0000.1050.1050.6710.8410.8360.839-0.1320.1600.795-0.2700.1330.1110.164-0.0850.1320.7170.198-0.0610.5420.9810.9810.6290.818-0.171-0.6350.558-0.2010.882-0.3350.1040.1040.1050.8810.8620.8020.1710.1050.111-0.068-0.1320.1050.1050.1050.1050.1050.1051.000
Grid ok hours [h]-1.0001.0001.000-0.0730.1860.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.109-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1860.186-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.0730.1860.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.109-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1860.186-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.2730.2740.2740.0590.9810.2310.015-0.0050.5050.5180.4280.4980.2740.034-0.069-0.1610.0180.2240.1820.1140.5960.6470.7380.743-0.0920.0250.5800.5670.5590.5600.5390.5640.4760.2740.2740.6570.6870.7110.6270.6260.6210.5300.5350.4590.0660.7130.7730.6360.2440.5320.5320.5300.5770.5070.5260.4550.4680.5190.5380.4600.442-0.2110.051-0.3340.1200.1380.1010.1980.6680.6700.6710.2740.2741.0000.8360.8360.831-0.0190.0860.580-0.4050.0000.1050.0600.071-0.0330.3390.114-0.0460.6910.9810.9810.2310.620-0.344-0.2200.418-0.1090.5340.0090.2730.2750.2730.5290.5350.4600.0470.2740.2840.171-0.0180.2740.2740.2730.2740.2740.2741.000
HVTrafo Phase1 Temp. Avg. [°C]-0.3330.3340.3330.1210.9810.2750.0300.0080.6940.6970.6090.6430.3340.058-0.201-0.289-0.0980.3090.2380.1000.6490.8030.8190.8790.0010.0000.7540.7410.7330.7320.7090.7380.5930.3340.3330.8460.8640.8630.8110.8120.8080.6930.6980.6150.1380.6740.9290.8000.4110.6700.6720.6730.5770.6940.7020.6090.5940.6750.6860.5870.585-0.388-0.076-0.4890.0730.1350.0950.2040.8360.8370.8410.3340.3340.8361.0000.9930.995-0.0190.0710.705-0.3840.0740.1090.059-0.0150.0500.4890.175-0.0320.7490.9810.9810.3850.743-0.317-0.4030.502-0.1300.692-0.1290.3330.3340.3330.6930.6980.6160.1090.3340.3400.139-0.0190.3340.3340.3330.3340.3340.3341.000
HVTrafo Phase2 Temp. Avg. [°C]-0.3070.3080.3070.1220.9810.2550.0220.0060.6920.6980.6050.6470.3070.051-0.200-0.291-0.0930.3020.2230.0790.6200.7880.7950.8640.0040.0000.7490.7370.7290.7270.7040.7330.5760.3080.3070.8400.8550.8490.8070.8070.8030.6910.6980.6110.1410.6530.9140.7930.4020.6710.6720.6720.5770.6920.7030.6070.6000.6730.6860.5830.592-0.375-0.057-0.4890.0860.1390.1020.2110.8310.8310.8360.3070.3070.8360.9931.0000.995-0.0180.0700.714-0.4030.0740.1090.058-0.0160.0520.4830.177-0.0310.7250.9810.9810.3730.749-0.333-0.3910.505-0.1290.689-0.1150.3070.3080.3070.6910.6980.6120.1120.3070.3150.119-0.0170.3070.3070.3070.3070.3070.3071.000
HVTrafo Phase3 Temp. Avg. [°C]-0.3190.3210.3200.1280.9810.2700.0290.0070.6870.6930.6020.6410.3200.059-0.193-0.283-0.0890.3060.2390.0960.6330.7940.8060.872-0.0090.0000.7510.7380.7300.7280.7050.7340.5880.3210.3200.8420.8590.8580.8080.8080.8040.6910.6980.6110.1400.6660.9230.7960.4000.6690.6710.6710.5770.6870.6980.6040.5920.6720.6850.5840.585-0.375-0.058-0.4880.0890.1360.0980.2070.8340.8350.8390.3200.3200.8310.9950.9951.000-0.0310.0820.712-0.4020.0790.1100.071-0.0210.0580.4790.175-0.0310.7390.9810.9810.3710.750-0.334-0.3900.505-0.1260.688-0.1140.3190.3200.3200.6910.6980.6130.1110.3200.3270.136-0.0310.3200.3200.3200.3200.3200.3201.000
HourCounters Average AlarmActive Avg. [h]-0.0840.0830.083-0.4890.0000.063-0.0550.0010.0700.0910.0460.1140.083-0.0820.2660.2650.264-0.1250.0500.0330.074-0.1390.041-0.0620.6930.327-0.213-0.216-0.206-0.218-0.221-0.201-0.2250.0830.083-0.141-0.146-0.081-0.152-0.152-0.154-0.226-0.198-0.237-0.0790.049-0.023-0.134-0.256-0.140-0.150-0.1560.0000.0770.0720.065-0.098-0.194-0.183-0.152-0.1940.2880.2280.1950.099-0.006-0.002-0.003-0.124-0.128-0.1320.0830.083-0.019-0.019-0.018-0.0311.000-0.827-0.103-0.148-0.518-0.010-0.9240.614-0.624-0.122-0.084-0.0670.0350.0000.000-0.261-0.094-0.1360.298-0.054-0.046-0.1940.2490.0840.0830.083-0.228-0.198-0.238-0.0660.0830.0760.0621.0000.0830.0840.0840.0830.0830.0831.000
HourCounters Average AmbientOk Avg. [h]0.089-0.089-0.0890.6290.4170.0080.012-0.008-0.018-0.037-0.084-0.061-0.0890.105-0.235-0.269-0.1750.1390.0170.034-0.0050.1730.0230.109-0.5850.2390.2290.2300.2220.2310.2330.2200.259-0.089-0.0890.1760.1790.1250.1790.1800.1810.2320.2080.1550.1070.0110.0750.1620.2720.1580.1670.1720.241-0.030-0.024-0.0330.1210.1280.1950.0820.208-0.228-0.151-0.194-0.0540.0360.0310.0380.1540.1590.160-0.089-0.0890.0860.0710.0700.082-0.8271.0000.1050.1480.7420.4140.922-0.6180.6660.1590.0980.0970.0340.4170.4170.2000.0980.137-0.2370.0580.0490.188-0.187-0.089-0.088-0.0890.2330.2090.1560.082-0.089-0.0820.010-0.823-0.089-0.089-0.089-0.089-0.089-0.0891.000
HourCounters Average Gen1 Avg. [h]0.052-0.052-0.0520.0880.044-0.143-0.004-0.0400.7920.7880.7220.692-0.0520.017-0.336-0.381-0.2100.234-0.146-0.2780.1810.6260.4230.649-0.0640.0510.8260.8300.8260.8270.8270.8250.507-0.052-0.0520.7910.7670.6440.8170.8160.8160.8230.8170.7770.1820.2960.5670.7030.4620.8210.8220.8220.0410.7950.7980.7400.7170.8150.8180.7240.718-0.4110.061-0.6430.2200.2180.2170.3150.7940.7850.795-0.052-0.0520.5800.7050.7140.712-0.1030.1051.000-0.6470.0860.0480.114-0.0700.0930.5610.140-0.0550.2980.0440.0440.4430.974-0.563-0.4430.668-0.1860.822-0.081-0.053-0.052-0.0520.8270.8180.7790.156-0.052-0.051-0.242-0.103-0.052-0.052-0.053-0.052-0.052-0.0521.000
HourCounters Average Gen2 Avg. [h]-0.0060.0070.0060.1140.0600.0180.0780.028-0.232-0.258-0.224-0.2980.0060.082-0.285-0.275-0.3490.1520.0510.086-0.146-0.089-0.231-0.233-0.1050.047-0.203-0.211-0.207-0.201-0.203-0.210-0.1060.0070.006-0.240-0.217-0.250-0.228-0.229-0.229-0.187-0.221-0.178-0.002-0.307-0.250-0.1440.299-0.242-0.229-0.2160.034-0.238-0.258-0.348-0.136-0.203-0.206-0.263-0.116-0.342-0.6420.117-0.607-0.110-0.122-0.172-0.257-0.248-0.2700.0060.006-0.405-0.384-0.403-0.402-0.1480.148-0.6471.0000.1100.0610.160-0.0920.1230.1020.1330.082-0.2010.0600.0600.347-0.6290.923-0.351-0.4150.113-0.190-0.5690.0060.0070.006-0.192-0.220-0.178-0.0080.0060.0060.013-0.1470.0060.0060.0060.0060.0060.0061.000
HourCounters Average GridOk Avg. [h]0.097-0.097-0.0970.6120.559-0.030-0.048-0.0120.1220.0980.0270.065-0.0970.073-0.154-0.198-0.0740.097-0.020-0.022-0.0090.1530.0060.0830.0050.1240.1880.1890.1840.1860.1840.1820.219-0.097-0.0970.1660.1700.1060.1650.1650.1680.1880.1820.0740.1560.0270.0720.1320.2250.1350.1420.1460.3200.1050.0900.0920.0750.0570.1580.0130.176-0.134-0.064-0.1580.0110.0560.0530.0460.1260.1270.133-0.097-0.0970.0000.0740.0740.079-0.5180.7420.0860.1101.0000.5550.688-0.8280.8950.1100.1150.1110.0080.5590.5590.0990.0830.101-0.1400.0560.0360.136-0.103-0.097-0.097-0.0970.1880.1820.0740.119-0.097-0.098-0.036-0.521-0.097-0.097-0.097-0.097-0.097-0.0971.000
HourCounters Average GridOn Avg. [h]0.041-0.041-0.0410.5280.9920.102-0.0710.0040.1080.106-0.0990.103-0.0410.112-0.037-0.1170.0990.0850.1020.1050.1060.1110.1080.1100.0080.0000.1120.1120.1110.1120.1130.1120.135-0.041-0.0410.1120.1120.1110.1110.1110.1110.1050.105-0.0970.1000.1070.1100.1110.1350.1090.1090.1090.5770.0910.0950.0580.086-0.0750.108-0.1000.1080.0330.105-0.0730.0640.1080.1070.1070.1110.1110.111-0.041-0.0410.1050.1090.1090.110-0.0100.4140.0480.0610.5551.0000.382-0.0050.5000.0940.0680.1100.1060.9920.992-0.0340.0490.0550.0330.0320.0240.0670.054-0.041-0.040-0.0420.1050.104-0.0970.074-0.041-0.0420.102-0.011-0.042-0.041-0.041-0.041-0.041-0.0411.000
HourCounters Average Run Avg. [h]0.093-0.093-0.0930.6500.389-0.0180.0230.000-0.024-0.043-0.083-0.066-0.0930.118-0.259-0.290-0.2050.150-0.0060.009-0.0270.1710.0030.099-0.6410.3150.2400.2420.2330.2440.2470.2290.260-0.093-0.0930.1720.1780.1170.1830.1830.1850.2500.2230.1800.112-0.0040.0630.1660.2880.1720.1810.1870.221-0.037-0.030-0.0390.1240.1500.2110.1010.221-0.252-0.170-0.208-0.0660.0480.0430.0440.1570.1600.164-0.093-0.0930.0600.0590.0580.071-0.9240.9220.1140.1600.6880.3821.000-0.5700.7650.1500.1040.1040.0090.3890.3890.2280.1050.147-0.2620.0620.0520.205-0.209-0.093-0.092-0.0930.2510.2230.1810.089-0.093-0.086-0.017-0.924-0.093-0.093-0.093-0.093-0.093-0.0931.000
HourCounters Average ServiceOn Avg. [h]-0.0890.0890.089-0.3870.0750.1060.0100.019-0.073-0.045-0.099-0.0080.089-0.0120.1600.1590.155-0.0610.0940.0970.083-0.1090.066-0.025-0.0040.124-0.151-0.151-0.147-0.148-0.146-0.143-0.1730.0890.089-0.125-0.129-0.052-0.123-0.124-0.127-0.155-0.148-0.155-0.1210.040-0.012-0.084-0.181-0.089-0.097-0.1020.000-0.065-0.045-0.071-0.031-0.120-0.117-0.083-0.1400.1840.1450.1410.0300.0060.0100.018-0.077-0.078-0.0850.0890.0890.071-0.015-0.016-0.0210.614-0.618-0.070-0.092-0.828-0.005-0.5701.000-0.745-0.069-0.091-0.0610.0620.0750.075-0.142-0.068-0.0850.190-0.045-0.027-0.1200.1600.0890.0900.089-0.156-0.148-0.155-0.0930.0890.0910.1130.6170.0890.0890.0890.0890.0890.0891.000
HourCounters Average TurbineOk Avg. [h]0.106-0.105-0.1060.6250.499-0.062-0.031-0.0030.0960.0710.0140.042-0.1060.087-0.181-0.221-0.1090.115-0.049-0.048-0.0440.144-0.0260.063-0.1190.2390.1960.1980.1920.1950.1960.1860.214-0.106-0.1060.1550.1590.0890.1620.1620.1650.2050.1950.1030.1570.0030.0500.1300.2410.1470.1540.1590.2880.0790.0670.0670.0790.0820.1730.0340.190-0.162-0.086-0.172-0.0010.0620.0600.0460.1230.1230.132-0.106-0.106-0.0330.0500.0520.058-0.6240.6660.0930.1230.8950.5000.765-0.7451.0000.0990.1230.115-0.0270.4990.4990.1300.0890.113-0.1690.0580.0420.153-0.128-0.106-0.106-0.1060.2060.1940.1040.125-0.106-0.107-0.067-0.629-0.106-0.106-0.106-0.106-0.106-0.1061.000
HourCounters Average WindOk Avg. [h]0.044-0.043-0.0430.1620.100-0.1580.077-0.0250.8150.7810.7530.596-0.0430.101-0.742-0.786-0.6590.212-0.133-0.2620.0910.7090.3040.577-0.0910.0200.8200.7950.8340.8110.7960.8210.454-0.043-0.0430.7260.7060.5410.7780.7760.7770.8220.7730.7350.2850.0840.4580.7720.8570.8460.8460.8460.0570.8140.7810.7270.7560.8280.8100.7360.742-0.782-0.534-0.517-0.3980.1610.1490.2210.7330.7190.717-0.043-0.0430.3390.4890.4830.479-0.1220.1590.5610.1020.1100.0940.150-0.0690.0991.0000.186-0.0060.1730.1000.1000.8220.5480.240-0.8190.385-0.3240.845-0.620-0.044-0.043-0.0430.8110.7730.7360.254-0.044-0.042-0.281-0.121-0.043-0.043-0.044-0.043-0.043-0.0431.000
HourCounters Average Yaw Avg. [h]0.025-0.024-0.0250.0960.098-0.082-0.0100.1150.2150.2860.0640.410-0.025-0.011-0.144-0.311-0.0130.475-0.025-0.0800.0140.2410.0900.172-0.0350.2040.2360.2460.2340.2380.2400.2340.171-0.024-0.0250.2460.2570.1670.2440.2450.2460.2460.3310.1100.3270.0050.1670.2070.2190.2080.2130.2180.0000.2180.293-0.0260.4020.2130.309-0.0160.422-0.2130.049-0.5240.1130.0490.0550.0790.2010.2060.198-0.025-0.0250.1140.1750.1770.175-0.0840.0980.1400.1330.1150.0680.104-0.0910.1230.1861.0000.0120.0660.0980.0980.2200.1420.139-0.2440.1570.2380.225-0.135-0.025-0.024-0.0250.2410.3280.1150.295-0.025-0.023-0.085-0.084-0.025-0.025-0.025-0.025-0.025-0.0251.000
Hydraulic Oil Temp. Avg. [°C]-0.0640.0640.0640.1110.9820.0660.0020.008-0.058-0.065-0.078-0.0710.0640.025-0.092-0.072-0.067-0.0390.0650.0750.005-0.037-0.023-0.051-0.0180.000-0.039-0.040-0.042-0.041-0.043-0.042-0.0470.0640.064-0.028-0.023-0.026-0.043-0.042-0.041-0.041-0.043-0.0580.053-0.002-0.012-0.0670.024-0.055-0.054-0.0530.577-0.063-0.066-0.073-0.025-0.071-0.048-0.073-0.0130.001-0.0220.001-0.024-0.015-0.024-0.024-0.065-0.059-0.0610.0640.064-0.046-0.032-0.031-0.031-0.0670.097-0.0550.0820.1110.1100.104-0.0610.115-0.0060.0121.0000.0010.9820.982-0.001-0.0830.080-0.008-0.0610.029-0.054-0.0350.0640.0640.064-0.037-0.043-0.0600.0500.0640.0640.061-0.0670.0640.0640.0640.0640.0640.0641.000
Nacelle Temp. Avg. [°C]-0.6430.6430.6430.0630.9810.7620.0510.0570.2890.2960.2320.2960.6430.0760.021-0.0410.0720.1800.6910.6410.9490.5190.9290.754-0.0100.0000.3650.3360.3290.3300.3000.3340.4470.6420.6430.4820.5390.7530.4190.4170.4070.2840.2970.2240.0440.9040.8310.5160.1300.2610.2620.2600.5770.2840.2950.2330.2290.2650.2730.2210.213-0.125-0.009-0.2000.0770.000-0.0570.0440.5310.5420.5420.6430.6430.6910.7490.7250.7390.0350.0340.298-0.2010.0080.1060.0090.062-0.0270.1730.0660.0011.0000.9810.9810.1080.335-0.181-0.1270.227-0.0270.281-0.0010.6430.6420.6430.2810.2970.2250.0350.6430.6470.6770.0360.6430.6430.6430.6430.6430.6431.000
Power factor set point0.1810.1770.1850.9780.9950.4790.0730.0220.1340.1680.9770.0830.1870.3110.0290.9770.9770.0300.9810.9810.9810.9810.9810.9810.0000.0000.9810.9810.9810.9810.9820.9810.9820.1580.1890.9810.9810.9810.9810.9810.9810.1780.1910.9770.0300.9810.9810.9810.3760.0560.0560.0570.9820.0560.0770.0470.0390.1380.9810.4960.0340.0290.0400.0520.0150.9860.9860.9860.9810.9810.9810.1860.1860.9810.9810.9810.9810.0000.4170.0440.0600.5590.9920.3890.0750.4990.1000.0980.9820.9811.0000.9950.0310.0420.0450.0290.0000.0000.0600.0300.2260.1670.2180.1760.1910.9770.0270.1860.6020.9810.0000.1670.1900.2220.1850.1600.1791.000
Power factor set point source0.1810.1770.1850.9780.9950.4790.0730.0220.1340.1680.9770.0830.1870.3110.0290.9770.9770.0300.9810.9810.9810.9810.9810.9810.0000.0000.9810.9810.9810.9810.9820.9810.9820.1580.1890.9810.9810.9810.9810.9810.9810.1780.1910.9770.0300.9810.9810.9810.3760.0560.0560.0570.9820.0560.0770.0470.0390.1380.9810.4960.0340.0290.0400.0520.0150.9860.9860.9860.9810.9810.9810.1860.1860.9810.9810.9810.9810.0000.4170.0440.0600.5590.9920.3890.0750.4990.1000.0980.9820.9810.9951.0000.0310.0420.0450.0290.0000.0000.0600.0300.2260.1670.2180.1760.1910.9770.0270.1860.6020.9810.0000.1670.1900.2220.1850.1600.1791.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.038-0.038-0.0380.1240.031-0.1700.109-0.0280.6790.6330.6660.441-0.0380.108-0.746-0.749-0.7330.277-0.142-0.2590.0350.6350.2290.495-0.2020.0320.7430.7310.7430.7450.7410.7350.450-0.038-0.0380.6470.6410.4630.6980.6960.6970.7580.6760.7730.115-0.0140.3710.6780.9300.7170.7310.7430.0150.6790.6340.5640.6650.7760.7140.6840.673-0.947-0.756-0.515-0.5950.1140.0950.1570.6450.6410.629-0.038-0.0380.2310.3850.3730.371-0.2610.2000.4430.3470.099-0.0340.228-0.1420.1300.8220.220-0.0010.1080.0310.0311.0000.4320.364-0.9760.299-0.3090.775-0.820-0.038-0.038-0.0380.7540.6780.7750.089-0.038-0.037-0.296-0.260-0.038-0.038-0.038-0.038-0.038-0.0381.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.071-0.071-0.0710.0860.042-0.151-0.014-0.0490.8160.8140.7470.727-0.0710.008-0.228-0.307-0.1120.317-0.160-0.2910.2090.6750.4620.681-0.0540.0000.8450.8490.8430.8450.8420.8420.558-0.071-0.0710.8100.7860.6640.8370.8360.8360.8410.8400.7840.1280.3390.5990.7440.4520.8440.8460.8460.0240.8200.8240.7610.6970.8390.8420.7410.700-0.3990.051-0.6140.2050.2150.2130.3080.8180.8090.818-0.071-0.0710.6200.7430.7490.750-0.0940.0980.974-0.6290.0830.0490.105-0.0680.0890.5480.142-0.0830.3350.0420.0420.4321.000-0.546-0.4320.685-0.1800.845-0.061-0.071-0.071-0.0710.8430.8400.7860.099-0.071-0.069-0.248-0.093-0.071-0.071-0.071-0.071-0.071-0.0711.000
Production LatestAverage Active Power Gen 2 Avg. [W]0.001-0.000-0.0010.1050.045-0.0110.0700.035-0.109-0.125-0.130-0.164-0.0010.074-0.382-0.399-0.3890.1240.0260.045-0.136-0.003-0.195-0.164-0.0970.000-0.092-0.104-0.088-0.094-0.102-0.096-0.086-0.000-0.001-0.149-0.137-0.186-0.130-0.131-0.130-0.072-0.093-0.1330.151-0.284-0.190-0.0450.344-0.100-0.093-0.0830.024-0.111-0.122-0.246-0.003-0.077-0.074-0.1980.019-0.318-0.5820.055-0.547-0.080-0.090-0.131-0.158-0.156-0.171-0.001-0.001-0.344-0.317-0.333-0.334-0.1360.137-0.5630.9230.1010.0550.147-0.0850.1130.2400.1390.080-0.1810.0450.0450.364-0.5461.000-0.366-0.3270.085-0.064-0.529-0.001-0.000-0.001-0.079-0.093-0.1340.144-0.001-0.001-0.023-0.136-0.001-0.001-0.001-0.001-0.001-0.0011.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]-0.0300.0290.030-0.1560.0290.149-0.1060.027-0.678-0.633-0.665-0.4410.030-0.1060.7500.7560.735-0.2940.1230.242-0.053-0.648-0.238-0.5040.2030.040-0.750-0.738-0.749-0.751-0.745-0.742-0.4720.0290.030-0.661-0.655-0.476-0.707-0.705-0.706-0.761-0.683-0.775-0.1310.001-0.393-0.680-0.937-0.707-0.721-0.7330.014-0.676-0.632-0.559-0.661-0.766-0.708-0.672-0.6800.9590.7690.5320.578-0.102-0.085-0.147-0.649-0.647-0.6350.0300.030-0.220-0.403-0.391-0.3900.298-0.237-0.443-0.351-0.1400.033-0.2620.190-0.169-0.819-0.244-0.008-0.1270.0290.029-0.976-0.432-0.3661.000-0.2990.295-0.7650.8350.0300.0300.030-0.757-0.685-0.776-0.1030.0300.0280.2830.2970.0300.0300.0300.0300.0300.0301.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.069-0.069-0.0690.0560.000-0.122-0.027-0.0200.5610.5710.4910.536-0.069-0.014-0.121-0.214-0.0140.288-0.127-0.2130.1390.4640.3110.462-0.0230.0550.5750.5790.5730.5750.5720.5720.372-0.069-0.0690.5520.5340.4500.5720.5720.5720.5680.5950.5010.1860.2220.4100.4940.3180.5810.5820.5820.0320.5670.5810.4880.5140.5780.5920.4400.520-0.2350.107-0.4940.2350.1770.1790.2380.5570.5510.558-0.069-0.0690.4180.5020.5050.505-0.0540.0580.668-0.4150.0560.0320.062-0.0450.0580.3850.157-0.0610.2270.0000.0000.2990.685-0.327-0.2991.000-0.0960.5820.229-0.069-0.069-0.0690.5640.5940.5020.170-0.069-0.066-0.184-0.053-0.069-0.069-0.069-0.069-0.069-0.0691.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0230.0230.0230.0360.0000.069-0.0390.053-0.261-0.212-0.354-0.0560.023-0.0420.1990.1170.3260.4660.0870.111-0.018-0.188-0.071-0.140-0.0370.013-0.222-0.197-0.235-0.216-0.203-0.226-0.0610.0230.023-0.169-0.152-0.119-0.203-0.202-0.203-0.218-0.088-0.3210.235-0.023-0.101-0.227-0.374-0.296-0.287-0.2790.000-0.257-0.150-0.509-0.078-0.250-0.144-0.516-0.0650.3770.353-0.2050.524-0.040-0.034-0.050-0.206-0.191-0.2010.0230.023-0.109-0.130-0.129-0.126-0.0460.049-0.1860.1130.0360.0240.052-0.0270.042-0.3240.2380.029-0.0270.0000.000-0.309-0.1800.0850.295-0.0961.000-0.2470.3420.0230.0230.023-0.206-0.091-0.3220.2170.0230.0240.103-0.0460.0230.0230.0230.0230.0230.0231.000
Production LatestAverage Total Active Power Avg. [W]0.072-0.072-0.0720.1510.060-0.1920.040-0.0400.9290.9090.8550.761-0.0720.063-0.585-0.656-0.4780.368-0.178-0.3270.1600.8130.4290.716-0.1360.0000.9720.9660.9750.9700.9590.9670.613-0.072-0.0720.8840.8600.6810.9290.9280.9280.9830.9590.9010.2610.2240.5990.8740.7770.9760.9810.9850.0340.9320.9230.8210.8480.9890.9790.8540.857-0.737-0.350-0.665-0.1690.2100.2000.2910.8920.8790.882-0.072-0.0720.5340.6920.6890.688-0.1940.1880.822-0.1900.1360.0670.205-0.1200.1530.8450.225-0.0540.2810.0600.0600.7750.845-0.064-0.7650.582-0.2471.000-0.459-0.072-0.072-0.0720.9790.9600.9020.223-0.072-0.070-0.319-0.193-0.072-0.072-0.072-0.072-0.072-0.0721.000
Production LatestAverage Total Reactive Power Avg. [var]0.005-0.006-0.005-0.1170.0300.086-0.1260.020-0.387-0.331-0.428-0.145-0.005-0.1180.6910.6350.758-0.1000.0580.1310.024-0.403-0.070-0.2530.1700.042-0.441-0.425-0.443-0.442-0.437-0.435-0.268-0.006-0.005-0.360-0.364-0.229-0.398-0.396-0.397-0.457-0.360-0.530-0.0040.122-0.169-0.416-0.776-0.405-0.418-0.4290.015-0.381-0.322-0.341-0.377-0.463-0.392-0.479-0.3930.8640.8630.2340.758-0.0080.010-0.019-0.350-0.350-0.335-0.005-0.0050.009-0.129-0.115-0.1140.249-0.187-0.081-0.569-0.1030.054-0.2090.160-0.128-0.620-0.135-0.035-0.0010.0300.030-0.820-0.061-0.5290.8350.2290.342-0.4591.000-0.005-0.006-0.005-0.455-0.363-0.5320.015-0.005-0.0060.1880.249-0.005-0.005-0.005-0.005-0.005-0.0051.000
Reactive power generator 0,Total accumulated [var]-1.0001.0001.000-0.0730.2260.7740.1820.080-0.052-0.058-0.042-0.0461.0000.1760.0050.0320.002-0.0570.7300.7270.7370.1100.5540.3100.0370.006-0.019-0.048-0.047-0.047-0.077-0.0480.1011.0001.0000.0630.1310.386-0.001-0.003-0.011-0.072-0.072-0.0570.0050.5990.4310.087-0.059-0.102-0.100-0.0990.132-0.063-0.064-0.073-0.043-0.066-0.097-0.064-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0930.1000.1041.0001.0000.2730.3330.3070.3190.084-0.089-0.0530.006-0.097-0.041-0.0930.089-0.106-0.044-0.0250.0640.6430.2260.226-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0580.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.000-0.0720.1670.7730.1840.081-0.053-0.058-0.043-0.0471.0000.1770.0050.0310.002-0.0570.7290.7260.7370.1110.5540.3100.0350.019-0.019-0.048-0.047-0.047-0.076-0.0470.1021.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0050.5980.4320.087-0.058-0.102-0.100-0.0990.098-0.064-0.064-0.073-0.043-0.066-0.096-0.064-0.0590.029-0.0310.038-0.009-0.122-0.215-0.1590.0940.1000.1041.0001.0000.2750.3340.3080.3200.083-0.088-0.0520.007-0.097-0.040-0.0920.090-0.106-0.043-0.0240.0640.6420.1670.167-0.038-0.071-0.0000.030-0.0690.023-0.072-0.0061.0001.0001.000-0.069-0.071-0.0580.0131.0000.9920.7230.0831.0001.0001.0001.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.000-0.0730.2180.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0360.009-0.019-0.048-0.047-0.047-0.076-0.0470.1021.0001.0000.0630.1310.386-0.001-0.003-0.010-0.071-0.072-0.0570.0050.5990.4310.088-0.059-0.102-0.100-0.0990.127-0.063-0.064-0.072-0.043-0.065-0.096-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2730.3330.3070.3200.083-0.089-0.0520.006-0.097-0.042-0.0930.089-0.106-0.043-0.0250.0640.6430.2180.218-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0831.0001.0001.0001.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.069-0.068-0.0690.1890.176-0.1780.054-0.0370.9230.9000.8440.750-0.0690.084-0.600-0.665-0.4840.369-0.163-0.3130.1600.8050.4260.715-0.1440.0600.9730.9720.9740.9740.9650.9670.626-0.069-0.0690.8900.8690.6860.9300.9280.9290.9950.9610.9130.2650.2280.6010.8600.7640.9530.9600.9660.1010.9180.9130.8000.8460.9620.9660.8270.859-0.728-0.342-0.676-0.1470.2190.2100.3020.8890.8780.881-0.069-0.0690.5290.6930.6910.691-0.2280.2330.827-0.1920.1880.1050.251-0.1560.2060.8110.241-0.0370.2810.1760.1760.7540.843-0.079-0.7570.564-0.2060.979-0.455-0.069-0.069-0.0691.0000.9610.9140.220-0.069-0.067-0.308-0.228-0.069-0.069-0.069-0.069-0.069-0.0691.000
Rotor RPM Max. [RPM]0.071-0.071-0.0710.1810.191-0.1720.022-0.0190.9070.9130.7900.824-0.0710.050-0.535-0.655-0.3740.482-0.151-0.2990.1730.7950.4330.705-0.1140.0000.9470.9470.9490.9450.9330.9420.617-0.071-0.0710.8750.8550.6770.9090.9080.9090.9660.9990.8300.4220.2530.6070.8400.6880.9380.9430.9480.1110.9080.9350.7360.8780.9430.9840.7430.895-0.645-0.227-0.728-0.0170.2160.2120.3020.8690.8580.862-0.071-0.0710.5350.6980.6980.698-0.1980.2090.818-0.2200.1820.1040.223-0.1480.1940.7730.328-0.0430.2970.1910.1910.6780.840-0.093-0.6850.594-0.0910.960-0.363-0.071-0.071-0.0710.9611.0000.8330.377-0.071-0.068-0.287-0.198-0.071-0.071-0.071-0.071-0.071-0.0711.000
Rotor RPM Min. [RPM]0.057-0.057-0.0570.0800.977-0.1950.104-0.0610.8420.7830.8820.561-0.0570.094-0.579-0.555-0.5690.233-0.192-0.3310.1160.7270.3680.644-0.1570.0000.8900.8880.8880.8930.8890.8820.577-0.057-0.0570.8100.7910.6170.8490.8470.8470.9080.8300.9980.0450.1750.5240.7730.7330.8600.8700.8781.0000.8320.7920.8160.7050.9170.8450.8980.712-0.790-0.465-0.553-0.2700.1860.1720.2560.8100.8030.802-0.057-0.0570.4600.6160.6120.613-0.2380.1560.779-0.1780.074-0.0970.181-0.1550.1040.7360.115-0.0600.2250.9770.9770.7750.786-0.134-0.7760.502-0.3220.902-0.532-0.058-0.058-0.0570.9140.8331.0000.011-0.057-0.056-0.332-0.238-0.057-0.057-0.058-0.057-0.057-0.0571.000
Rotor RPM StdDev [RPM]-0.0130.0130.0130.0990.027-0.027-0.0350.0730.2220.2760.0710.3850.013-0.027-0.337-0.404-0.1140.2260.008-0.0260.0180.1560.0460.1190.0030.1730.2230.2210.2310.2120.1970.2280.0850.0130.0130.2030.1940.1350.1990.2000.2030.2320.3760.0120.9840.0470.1370.1450.0910.2210.2180.2140.0140.2260.2970.0410.3800.2110.308-0.0240.397-0.0390.168-0.3890.2870.0560.0630.0820.1680.1620.1710.0130.0130.0470.1090.1120.111-0.0660.0820.156-0.0080.1190.0740.089-0.0930.1250.2540.2950.0500.0350.0270.0270.0890.0990.144-0.1030.1700.2170.2230.0150.0130.0130.0130.2200.3770.0111.0000.0130.013-0.032-0.0650.0130.0130.0130.0130.0130.0131.000
Run hours [h]-1.0001.0001.000-0.0730.1860.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.109-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.044-0.0250.0640.6430.1860.186-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Service hours [h]-0.9920.9920.992-0.0690.6020.7720.1650.083-0.054-0.058-0.045-0.0450.9920.1570.0040.0270.003-0.0530.7270.7200.7400.1150.5600.3180.0250.000-0.016-0.045-0.044-0.045-0.074-0.0450.1040.9920.9920.0670.1350.3880.0030.002-0.006-0.069-0.069-0.0550.0040.6030.4380.094-0.057-0.100-0.098-0.0970.349-0.064-0.063-0.074-0.037-0.063-0.094-0.062-0.0530.027-0.0330.037-0.009-0.119-0.211-0.1560.1000.1070.1110.9920.9920.2840.3400.3150.3270.076-0.082-0.0510.006-0.098-0.042-0.0860.091-0.107-0.042-0.0230.0640.6470.6020.602-0.037-0.069-0.0010.028-0.0660.024-0.070-0.0060.9920.9920.992-0.067-0.068-0.0560.0130.9921.0000.7180.0760.9920.9920.9920.9920.9920.9921.000
Spinner Temp. Avg. [°C]-0.7240.7230.7240.0170.9810.9220.1180.082-0.308-0.294-0.330-0.2170.7240.1390.2290.2350.227-0.1020.9070.9860.747-0.1010.5330.200-0.0280.000-0.253-0.284-0.287-0.284-0.311-0.287-0.0080.7230.724-0.172-0.0990.236-0.229-0.231-0.243-0.309-0.287-0.332-0.0490.6350.305-0.079-0.272-0.316-0.319-0.3240.577-0.317-0.306-0.304-0.263-0.334-0.315-0.312-0.2740.2730.1470.2030.109-0.157-0.199-0.159-0.082-0.069-0.0680.7240.7240.1710.1390.1190.1360.0620.010-0.2420.013-0.0360.102-0.0170.113-0.067-0.281-0.0850.0610.6770.9810.981-0.296-0.248-0.0230.283-0.1840.103-0.3190.1880.7240.7230.724-0.308-0.287-0.332-0.0320.7240.7181.0000.0630.7230.7240.7240.7240.7230.7241.000
System Logs First Active Alarm No-0.0840.0840.083-0.4880.0000.064-0.0540.0010.0690.0890.0440.1130.084-0.0820.2660.2650.264-0.1230.0510.0350.075-0.1380.042-0.0620.6870.222-0.213-0.215-0.205-0.217-0.220-0.201-0.2250.0840.083-0.140-0.146-0.080-0.152-0.152-0.154-0.226-0.197-0.237-0.0790.049-0.022-0.133-0.255-0.140-0.150-0.1560.0000.0750.0700.063-0.097-0.193-0.182-0.152-0.1930.2870.2280.1940.099-0.007-0.002-0.003-0.123-0.127-0.1320.0840.084-0.018-0.019-0.017-0.0311.000-0.823-0.103-0.147-0.521-0.011-0.9240.617-0.629-0.121-0.084-0.0670.0360.0000.000-0.260-0.093-0.1360.297-0.053-0.046-0.1930.2490.0840.0830.083-0.228-0.198-0.238-0.0650.0840.0760.0631.0000.0830.0840.0840.0840.0840.0841.000
Total Active power [W]-1.0001.0001.000-0.0730.1670.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7290.7260.7370.1110.5540.3100.0370.017-0.019-0.048-0.046-0.047-0.076-0.0470.1021.0001.0000.0640.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.099-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.042-0.0930.089-0.106-0.043-0.0250.0640.6430.1670.167-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7230.0831.0001.0001.0001.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.000-0.0730.1900.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.112-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.084-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1900.190-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Total reactive power [var]-1.0001.0001.000-0.0730.2220.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.003-0.0570.7300.7260.7370.1100.5540.3100.0370.006-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.003-0.010-0.071-0.072-0.0570.0040.5990.4310.087-0.059-0.102-0.100-0.0990.130-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1000.1051.0001.0000.2730.3330.3070.3200.084-0.089-0.0530.006-0.097-0.041-0.0930.089-0.106-0.044-0.0250.0640.6430.2220.222-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0580.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Turbine ok hours [h]-1.0001.0001.000-0.0730.1850.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0480.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.108-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1850.185-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.0730.1600.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.012-0.019-0.048-0.047-0.047-0.076-0.0470.1021.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.094-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1600.160-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7230.0841.0001.0001.0001.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.0730.1790.7740.1830.080-0.052-0.058-0.042-0.0461.0000.1770.0050.0320.002-0.0570.7300.7260.7370.1110.5550.3100.0370.011-0.019-0.048-0.047-0.047-0.076-0.0470.1011.0001.0000.0630.1310.386-0.001-0.002-0.010-0.071-0.072-0.0570.0040.5990.4320.088-0.059-0.102-0.100-0.0990.105-0.063-0.064-0.072-0.043-0.066-0.097-0.063-0.0590.029-0.0310.039-0.009-0.121-0.214-0.1590.0940.1010.1051.0001.0000.2740.3340.3070.3200.083-0.089-0.0520.006-0.097-0.041-0.0930.089-0.106-0.043-0.0250.0640.6430.1790.179-0.038-0.071-0.0010.030-0.0690.023-0.072-0.0051.0001.0001.000-0.069-0.071-0.0570.0131.0000.9920.7240.0841.0001.0001.0001.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:38:16.928402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:38:17.684573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:38:21.184198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001056.01041.01049.02.041.038.037.040.019.046.028.047.0999.0999.055.049.00.054.054.056.061.060.023.0335.110.19.910.00.05.42.74.10.4-4.8330.36.00.030.030.031.030.090.51.050.0568.4567.1564.347.952.058.5132.341.524.021.60.00.1-0.20.090.0132.040.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.053.027.09.0999.00.2-1.6-0.80.330.033.031.036.0600.0600.0600.0600.0600.00.0600.00.00.0600.0521.00.030380400.030106220.029878370.029744248.029349202.010151527.012601389.01514870.0172765.029711888.019856684.00.00.015268.015268.00.00.00.00.0-28273.04957522.0797737.05726986.065179.0122.01960.067261.00.00.00.0False
12020-01-01 00:10:001055.01042.01049.02.040.037.037.040.023.046.029.050.0999.0999.054.049.00.053.054.056.061.060.024.0335.110.110.010.00.05.52.33.60.4-3.0332.16.00.030.031.032.030.051.31.050.0568.5567.4564.325.828.935.9105.22.824.025.70.00.1-0.20.050.0105.02.025.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.052.028.09.0999.00.8-1.0-0.20.430.033.031.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.080.00.030380400.030106820.029878970.029744848.029349802.010151527.012601989.01514870.0172765.029712488.019856764.00.00.08626.08626.00.00.00.00.0-28273.04957522.0797745.05726994.065179.0122.01960.067261.00.00.00.0False
22020-01-01 00:20:001059.01040.01049.03.040.037.037.039.023.047.027.052.0999.0999.054.049.00.053.054.056.061.060.025.0335.110.19.910.00.06.02.44.30.5-3.5331.67.00.030.030.031.029.0113.31.050.0569.3568.5565.661.364.872.0198.424.224.040.40.00.1-0.20.0113.0198.023.040.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.052.027.09.0999.00.6-2.3-1.00.530.033.031.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0377.00.030380400.030107420.029879570.029745448.029350402.010151527.012602589.01514870.0172765.029713088.019857140.00.00.018738.018738.00.00.00.00.0-28273.04957522.0797764.05727013.065179.0122.01960.067261.00.00.00.0False
32020-01-01 00:30:001130.01042.01053.011.040.037.037.039.019.047.029.053.0999.0999.055.049.00.054.055.056.060.060.024.0335.110.89.910.00.17.03.34.90.5-2.1333.06.00.033.032.033.032.0180.41.050.0569.6568.7565.7100.4104.2111.4305.8140.724.030.70.00.1-0.20.0180.0306.0140.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.015.031.052.028.09.0999.0-0.9-2.8-1.80.430.033.031.036.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030384000.030108020.029880170.029746048.029351002.010151527.012603189.01514870.0172765.029713688.019857740.00.00.029421.029421.00.00.00.00.0-28273.04957522.0797794.05727043.065179.0122.01960.067261.00.00.00.0False
42020-01-01 00:40:001058.01040.01049.03.040.038.037.040.018.046.029.046.0999.0999.055.049.00.055.055.056.061.060.024.0337.010.19.910.00.06.22.84.40.4-2.4334.66.00.033.032.033.031.0140.21.050.0570.5569.4566.876.780.687.7202.572.724.028.60.00.6-0.30.0139.0202.072.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.015.031.053.029.09.0999.00.0-2.5-1.20.430.033.031.035.0600.0600.0600.0600.0600.00.0600.020.00.0600.0600.00.030384000.030108622.029880772.029746648.029351604.010151527.012603790.01514890.0172765.029714288.019858342.00.00.023528.023528.00.00.00.00.0-28273.04957522.0797817.05727066.065179.0122.01960.067261.00.00.00.0False
52020-01-01 00:50:001056.01042.01049.02.040.038.038.040.018.046.028.044.0999.0999.055.049.00.054.055.056.061.060.024.0338.210.110.010.00.05.42.84.20.4-7.5330.86.00.030.030.031.029.0103.11.050.0571.3570.2567.655.058.965.7155.858.324.020.30.00.5-0.40.0102.0155.057.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.053.027.09.0999.0-0.2-1.5-0.90.230.033.031.035.0600.0600.0600.0600.0600.00.0600.031.00.0600.0600.00.030384000.030109220.029881368.029747248.029352200.010151527.012604388.01514921.0172765.029714888.019858940.00.00.017220.017220.00.00.00.00.0-28273.04957522.0797834.05727083.065179.0122.01960.067261.00.00.00.0False
62020-01-01 01:00:001065.01041.01049.02.040.037.037.039.020.046.028.047.0999.0999.055.049.00.054.055.056.061.060.023.0330.210.29.910.00.05.62.54.30.40.6330.86.00.030.029.030.029.0119.91.050.0571.6570.7567.964.868.575.5172.283.624.020.20.00.1-0.20.0119.0173.084.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.053.026.09.0999.00.1-2.1-1.00.329.033.031.038.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030384000.030109820.029881968.029747848.029352800.010151527.012604988.01514921.0172765.029715488.019859540.00.00.019961.019961.00.00.00.00.0-28273.04957522.0797854.05727103.065179.0122.01960.067261.00.00.00.0False
72020-01-01 01:10:001057.01041.01049.02.040.037.037.039.024.046.028.050.0999.0999.055.049.00.054.055.056.061.060.024.0332.110.19.910.00.05.83.24.50.40.3332.37.00.031.030.031.030.0147.61.050.0571.0569.9567.281.284.991.6190.4113.824.016.10.00.6-0.40.0147.0190.0113.016.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.022.015.030.053.027.09.0999.0-0.8-2.1-1.30.230.033.031.042.0600.0600.0600.0600.0600.00.0600.017.00.0600.0600.00.030384000.030110420.029882568.029748448.029353400.010151527.012605588.01514938.0172765.029716088.019860140.00.00.024340.024340.00.00.00.00.0-28273.04957522.0797878.05727128.065179.0122.01960.067261.00.00.00.0False
82020-01-01 01:20:001077.01041.01051.05.040.037.037.039.021.047.028.052.0999.0999.055.049.00.055.055.056.061.060.025.0337.910.39.910.00.06.53.54.90.4-9.3328.67.00.032.031.032.030.0178.81.050.0572.2571.0568.599.0103.2109.5241.5130.424.022.60.00.1-0.30.0178.0241.0129.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.022.015.030.053.028.09.0999.0-1.1-2.7-1.80.330.033.031.038.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030384000.030111020.029883170.029749048.029354002.010151527.012606189.01514938.0172765.029716688.019860740.00.00.030180.030180.00.00.00.00.0-28273.04957522.0797909.05727158.065179.0122.01960.067261.00.00.00.0False
92020-01-01 01:30:001150.01037.01058.015.040.037.037.039.018.046.028.053.0999.0999.055.049.00.055.055.056.061.060.024.0334.611.09.910.00.16.83.55.20.5-6.9327.76.00.032.030.031.030.0207.31.050.0573.5572.3569.8115.5119.7125.9302.3150.424.031.90.00.7-0.70.0207.0303.0149.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.023.015.031.054.027.09.0999.0-1.4-2.8-2.10.330.033.031.035.0600.0600.0600.0600.0600.00.0600.018.00.0600.0600.00.030387600.030111622.029883772.029749648.029354604.010151527.012606790.01514956.0172765.029717288.019861342.00.00.034836.034836.00.00.00.00.0-28273.04957522.0797943.05727193.065179.0122.01960.067261.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001235.01092.01170.026.051.048.048.050.032.058.039.048.0999.0999.057.049.00.059.059.058.061.062.035.0330.411.810.411.10.27.25.16.10.4-0.7329.824.00.040.039.039.038.0341.81.050.0572.1570.0568.1193.7199.2204.7437.4255.834.034.90.00.1-0.20.0341.0439.0254.035.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.034.044.073.039.028.0999.0-2.1-2.8-2.50.139.043.042.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046098000.045758452.045383484.045198540.044626188.015431242.019573162.02343326.0319143.045055128.030489256.00.00.056678.056678.00.00.00.00.0-41694.07427375.01238347.08624028.096032.0180.02987.099200.00.00.00.0False
261992020-06-30 22:30:001336.01127.01217.040.051.048.048.050.032.058.039.051.0999.0999.057.049.00.060.059.058.061.062.035.0335.812.810.811.60.37.75.16.40.4-1.2334.724.00.039.038.039.038.0359.11.050.0573.9571.7569.8203.0208.7214.3466.9241.634.041.20.00.4-0.40.0358.0467.0241.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.044.074.039.027.0999.0-2.0-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.017.00.0600.0600.00.046101600.045759052.045384084.045199140.044626788.015431242.019573762.02343343.0319143.045055728.030489856.00.00.059819.059819.00.00.00.00.0-41694.07427375.01238407.08624088.096032.0180.02987.099200.00.00.00.0False
262002020-06-30 22:40:001377.01209.01285.038.052.048.048.050.032.058.039.053.0999.0999.058.049.00.060.059.058.061.062.035.0339.213.211.512.20.37.95.36.70.4-0.9338.424.00.038.038.039.038.0392.71.050.0575.0572.8570.9221.9228.0233.3541.1282.934.040.60.00.1-0.10.0392.0544.0283.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.044.073.038.027.0999.0-2.2-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046101600.045759656.045384684.045199744.044627392.015431242.019574364.02343343.0319143.045056332.030490456.00.00.065367.065367.00.00.00.00.0-41694.07427375.01238473.08624154.096032.0180.02987.099200.00.00.00.0False
262012020-06-30 22:50:001364.01191.01276.033.052.048.048.050.032.058.040.049.0999.0999.058.049.00.061.060.059.061.062.035.0339.213.011.412.10.38.25.36.70.42.7342.024.00.040.039.040.039.0400.31.050.0575.3573.1570.6225.7231.9238.4527.0317.334.038.10.00.1-0.10.0400.0527.0314.038.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.044.072.039.027.0999.0-2.2-2.8-2.50.039.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046101600.045760252.045385284.045200340.044627988.015431242.019574962.02343343.0319143.045056928.030491056.00.00.066757.066757.00.00.00.00.0-41694.07427375.01238539.08624220.096032.0180.02987.099200.00.00.00.0False
262022020-06-30 23:00:001304.01106.01231.039.052.048.048.050.032.058.040.046.0999.0999.058.049.00.060.059.059.061.062.035.0345.412.510.611.70.37.84.96.40.4-1.0344.425.00.040.039.040.039.0361.81.050.0576.1573.4570.9202.9209.4216.1472.6215.934.045.60.00.4-0.70.0361.0479.0215.046.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.033.044.072.039.027.0999.0-1.9-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.012.00.0600.0600.00.046101600.045760852.045385884.045200940.044628588.015431242.019575562.02343355.0319143.045057528.030491656.00.00.060444.060444.00.00.00.00.0-41694.07427375.01238600.08624281.096032.0180.02987.099200.00.00.00.0False
262032020-06-30 23:10:001258.01088.01171.036.052.048.048.050.032.058.039.049.0999.0999.057.049.00.059.059.058.061.061.035.0345.612.010.411.10.37.54.96.10.4-1.4344.225.00.040.039.039.038.0308.41.050.0576.6573.9571.5171.7178.1184.8427.2204.334.045.60.00.1-0.10.0307.0427.0202.046.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.033.044.072.039.027.0999.0-2.0-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046101600.045761452.045386484.045201540.044629188.015431242.019576162.02343355.0319143.045058128.030492256.00.00.051925.051925.00.00.00.00.0-41694.07427375.01238652.08624333.096032.0180.02987.099200.00.00.00.0False
262042020-06-30 23:20:001218.01067.01136.029.052.048.047.050.032.058.039.051.0999.0999.057.049.00.058.058.058.060.061.035.0345.611.610.210.80.27.44.75.90.4-0.7344.925.00.039.038.039.038.0260.51.050.0576.1573.2571.0144.2150.5156.9346.3141.634.037.00.00.1-0.30.0259.0350.0140.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.044.072.039.027.0999.0-2.0-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046101600.045762052.045387084.045202140.044629788.015431242.019576762.02343355.0319143.045058728.030492856.00.00.043573.043573.00.00.00.00.0-41694.07427375.01238695.08624376.096032.0180.02987.099200.00.00.00.0False
262052020-06-30 23:30:001225.01050.01099.036.052.047.047.049.032.058.039.053.0999.0999.056.049.00.057.058.057.060.061.035.0345.611.710.010.40.37.24.35.70.42.9348.525.00.039.038.039.038.0227.81.050.0574.8571.2569.3125.2132.3138.3316.3114.534.033.40.00.1-0.10.0227.0318.0109.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.044.073.039.027.0999.0-1.9-2.8-2.50.139.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046105200.045762652.045387680.045202740.044630388.015431242.019577360.02343355.0319143.045059328.030493454.00.00.038366.038366.00.00.00.00.0-41694.07427375.01238734.08624415.096032.0180.02987.099200.00.00.00.0False
262062020-06-30 23:40:001063.01045.01050.02.052.047.047.049.032.057.040.047.0999.0999.056.049.00.056.057.057.060.061.035.0345.610.210.010.00.06.44.15.00.32.2347.825.00.040.039.040.038.0178.61.050.0572.9569.4567.596.7104.0109.9211.5149.434.014.50.00.1-0.20.0178.0211.0148.014.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.032.044.073.039.027.0999.0-1.4-2.6-2.00.339.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046105200.045763252.045388284.045203344.044630992.015431242.019577964.02343355.0319143.045059932.030494056.00.00.029783.029783.00.00.00.00.0-41694.07427375.01238763.08624444.096032.0180.02987.099200.00.00.00.0False
262072020-06-30 23:50:001056.01044.01049.01.052.047.046.049.032.057.040.047.0999.0999.055.049.00.056.057.057.060.061.035.0345.610.110.010.00.06.03.84.80.34.9350.525.00.039.038.039.038.0161.31.050.0570.5566.7564.986.894.2100.2180.9134.534.09.30.00.1-0.30.0160.0181.0134.09.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.032.044.072.039.027.0999.0-1.3-2.6-1.70.239.043.041.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.046105200.045763852.045388880.045203940.044631588.015431242.019578560.02343355.0319143.045060528.030494654.00.00.026908.026908.00.00.00.00.0-41694.07427375.01238790.08624471.096032.0180.02987.099200.00.00.00.0False